# If using Google Colab...
# Mount my Google Drive
from google.colab import drive
drive.mount('/content/drive')
Mounted at /content/drive
A sentiment analysis job about the problems of each major U.S. airline. Twitter data was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "late flight" or "rude service").
# Import necessary libraries
import re, string, unicodedata # Import Regex, string and unicodedata.
import wordcloud # Import wordcloud to create word clouds
from wordcloud import WordCloud
import contractions # Import contractions library.
from bs4 import BeautifulSoup # Import BeautifulSoup.
import pandas as pd # Import Pandas for data
import numpy as np # Import numpy.
import pandas as pd # Import pandas.
import nltk # Import Natural Language Tool-Kit
nltk.download('stopwords') # Download Stopwords.
nltk.download('punkt')
nltk.download('wordnet')
from nltk.corpus import stopwords # Import stopwords.
from nltk.tokenize import word_tokenize, sent_tokenize # Import Tokenizer.
from nltk.stem.wordnet import WordNetLemmatizer # Import Lemmatizer.
from sklearn.feature_extraction.text import CountVectorizer #For Bag of words
from sklearn.feature_extraction.text import TfidfVectorizer #For TF-IDF
from sklearn.ensemble import RandomForestClassifier # Import Random Forest classifier
from sklearn.model_selection import train_test_split # Import Train Test Split for modeling fitting
from sklearn.model_selection import cross_val_score # Import cross validation score
from sklearn.model_selection import RandomizedSearchCV # Import RandomizedSearchCV for hyperparameter tuning
from sklearn.datasets import load_digits
from collections import Counter # Import Counter to count word frequency
from scipy.stats import randint as sp_randint
from sklearn import metrics # Import metrics for evaluating the model
from sklearn.metrics import confusion_matrix # Import confusion matrix for evaluating the model
import matplotlib.pyplot as plt # Import plt for visualization
import seaborn as sns # Import seaborn for visualization
[nltk_data] Downloading package stopwords to /root/nltk_data... [nltk_data] Unzipping corpora/stopwords.zip. [nltk_data] Downloading package punkt to /root/nltk_data... [nltk_data] Unzipping tokenizers/punkt.zip. [nltk_data] Downloading package wordnet to /root/nltk_data... [nltk_data] Unzipping corpora/wordnet.zip.
# Load the data
df = pd.read_csv('/content/drive/My Drive/Colab Notebooks/NLP/Tweets.csv')
# Check the shape of the data
df.shape
(14640, 15)
There are 14,640 rows of data and 15 columns
# Check the first 5 rows of data
df.head()
| tweet_id | airline_sentiment | airline_sentiment_confidence | negativereason | negativereason_confidence | airline | airline_sentiment_gold | name | negativereason_gold | retweet_count | text | tweet_coord | tweet_created | tweet_location | user_timezone | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 570306133677760513 | neutral | 1.0000 | NaN | NaN | Virgin America | NaN | cairdin | NaN | 0 | @VirginAmerica What @dhepburn said. | NaN | 2015-02-24 11:35:52 -0800 | NaN | Eastern Time (US & Canada) |
| 1 | 570301130888122368 | positive | 0.3486 | NaN | 0.0000 | Virgin America | NaN | jnardino | NaN | 0 | @VirginAmerica plus you've added commercials t... | NaN | 2015-02-24 11:15:59 -0800 | NaN | Pacific Time (US & Canada) |
| 2 | 570301083672813571 | neutral | 0.6837 | NaN | NaN | Virgin America | NaN | yvonnalynn | NaN | 0 | @VirginAmerica I didn't today... Must mean I n... | NaN | 2015-02-24 11:15:48 -0800 | Lets Play | Central Time (US & Canada) |
| 3 | 570301031407624196 | negative | 1.0000 | Bad Flight | 0.7033 | Virgin America | NaN | jnardino | NaN | 0 | @VirginAmerica it's really aggressive to blast... | NaN | 2015-02-24 11:15:36 -0800 | NaN | Pacific Time (US & Canada) |
| 4 | 570300817074462722 | negative | 1.0000 | Can't Tell | 1.0000 | Virgin America | NaN | jnardino | NaN | 0 | @VirginAmerica and it's a really big bad thing... | NaN | 2015-02-24 11:14:45 -0800 | NaN | Pacific Time (US & Canada) |
# Show the column names
df.columns
Index(['tweet_id', 'airline_sentiment', 'airline_sentiment_confidence',
'negativereason', 'negativereason_confidence', 'airline',
'airline_sentiment_gold', 'name', 'negativereason_gold',
'retweet_count', 'text', 'tweet_coord', 'tweet_created',
'tweet_location', 'user_timezone'],
dtype='object')
Each row is an individual tweet as well as other information about the tweet, especially around the tweet's sentiment
Columns include:
- **Index** which is the index column of the dataset
- **tweet_id** which is the ID # of the tweet
- **airline_sentiment** which is a classification of whether the tweet was positive, negative, or neutral about the airline
- **airline_sentiment_confidence** which is a measure of how likely the sentiment classification is accurate
- **negativereason** which is a subjective comment on why the user had negative sentiment about the airline
- **negativereason_confidence** which is a measure of how likely the negative reason is accurate
- **airline** which is the airline the tweet was made about
- **airline_sentiment_gold** which is unclear what it is
- **name** which is the username of the user who tweeted
- **negativereason_gold** which I'm not sure what it is
- **retweet_count** which is the number of times the tweet was retweeted by other users
- **text** which is the text of the tweet
- **tweet_coord** which I'm not sure what it is
- **tweet_created** which is the date the tweet was made
- **tweet_location** which I'm not sure what it is
- **user_timezone** which is the timezone of the person who made the tweet
# Show the description of the data
df.describe()
| tweet_id | airline_sentiment_confidence | negativereason_confidence | retweet_count | |
|---|---|---|---|---|
| count | 1.464000e+04 | 14640.000000 | 10522.000000 | 14640.000000 |
| mean | 5.692184e+17 | 0.900169 | 0.638298 | 0.082650 |
| std | 7.791112e+14 | 0.162830 | 0.330440 | 0.745778 |
| min | 5.675883e+17 | 0.335000 | 0.000000 | 0.000000 |
| 25% | 5.685592e+17 | 0.692300 | 0.360600 | 0.000000 |
| 50% | 5.694779e+17 | 1.000000 | 0.670600 | 0.000000 |
| 75% | 5.698905e+17 | 1.000000 | 1.000000 | 0.000000 |
| max | 5.703106e+17 | 1.000000 | 1.000000 | 44.000000 |
# Check how many null values there are in each column
df.isna().sum()
tweet_id 0 airline_sentiment 0 airline_sentiment_confidence 0 negativereason 5462 negativereason_confidence 4118 airline 0 airline_sentiment_gold 14600 name 0 negativereason_gold 14608 retweet_count 0 text 0 tweet_coord 13621 tweet_created 0 tweet_location 4733 user_timezone 4820 dtype: int64
# Show the percentage of values in each column which are null
(df.isna().sum() * 100 / df.index.size).round(2)
tweet_id 0.00 airline_sentiment 0.00 airline_sentiment_confidence 0.00 negativereason 37.31 negativereason_confidence 28.13 airline 0.00 airline_sentiment_gold 99.73 name 0.00 negativereason_gold 99.78 retweet_count 0.00 text 0.00 tweet_coord 93.04 tweet_created 0.00 tweet_location 32.33 user_timezone 32.92 dtype: float64
# Count the number of each sentiment
df['airline_sentiment'].value_counts()
negative 9178 neutral 3099 positive 2363 Name: airline_sentiment, dtype: int64
# Visualize the distribution of sentiment across all tweets
plt.figure(figsize=(3,5))
sns.countplot(
x = 'airline_sentiment',
data = df,
order = df.airline_sentiment.value_counts().index,
palette = 'viridis')
plt.show()
# Count the distribution of all tweets among each airline
df['airline'].value_counts()
United 3822 US Airways 2913 American 2759 Southwest 2420 Delta 2222 Virgin America 504 Name: airline, dtype: int64
# Plot the distribution of all tweets among each airline
plt.figure(figsize=(15,5))
sns.countplot(
x = 'airline',
data = df,
order = df.airline.value_counts().index,
palette = 'viridis')
plt.show()
# Plot the distribution of Sentiment of tweets for each airline
g = sns.FacetGrid(
data = df,
col = 'airline',
col_wrap = 3,
height = 5,
aspect = 0.7
)
g = g.map(
sns.countplot,
'airline_sentiment',
order = df.airline_sentiment.value_counts().index,
palette = 'viridis'
)
plt.show()
# Count the distribution of all negative reasons
df['negativereason'].value_counts()
Customer Service Issue 2910 Late Flight 1665 Can't Tell 1190 Cancelled Flight 847 Lost Luggage 724 Bad Flight 580 Flight Booking Problems 529 Flight Attendant Complaints 481 longlines 178 Damaged Luggage 74 Name: negativereason, dtype: int64
# Plot the distribution of all the negative reasons
plt.figure(figsize=(15,5))
sns.countplot(
x = 'negativereason',
data = df,
order = df.negativereason.value_counts().index,
palette = 'viridis')
plt.xticks(rotation=45)
plt.show()
# Plot the word cloud graph of tweets for positive and negative sentiment separately.
# Define a function to create a word cloud of the tweet text
df_copy = df.copy()
df_copy['text'] = df_copy.apply(lambda row: nltk.word_tokenize(row['text']), axis=1) # Tokenization of data
def show_wordcloud(df_copy, title):
text = ' '.join(df_copy['text'].astype(str).tolist()) # Converting Summary column into list
stopwords = set(wordcloud.STOPWORDS) # instantiate the stopwords from wordcloud
fig_wordcloud = wordcloud.WordCloud(stopwords=stopwords,background_color='white', # Setting the different parameter of stopwords
colormap='viridis', width=800, height=600).generate(text)
plt.figure(figsize=(14,11), frameon=True)
plt.imshow(fig_wordcloud)
plt.axis('off')
plt.title(title, fontsize=30)
plt.show()
# Plot a word cloud of text for positive tweets
show_wordcloud(df_copy[df_copy['airline_sentiment'] == 'positive'], title = "Positive Sentiment Tweets")
# Plot a word cloud of text for negative tweets
show_wordcloud(df_copy[df_copy['airline_sentiment'] == 'negative'], title = "Negative Sentiment Tweets")
# Drop all other columns except “text” and “airline_sentiment”
df.drop(['tweet_id', 'airline_sentiment_confidence',
'negativereason', 'negativereason_confidence', 'airline',
'airline_sentiment_gold', 'name', 'negativereason_gold',
'retweet_count', 'tweet_coord', 'tweet_created',
'tweet_location', 'user_timezone'], axis=1, inplace=True)
# Check the shape of the data now that we've dropped unnecessary columns
df.shape
(14640, 2)
# Print the first 5 rows of data
df.head()
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | @VirginAmerica What @dhepburn said. |
| 1 | positive | @VirginAmerica plus you've added commercials t... |
| 2 | neutral | @VirginAmerica I didn't today... Must mean I n... |
| 3 | negative | @VirginAmerica it's really aggressive to blast... |
| 4 | negative | @VirginAmerica and it's a really big bad thing... |
# Display full dataframe information so full Tweet text displays
pd.set_option('display.max_colwidth', None)
# Check the first 5 rows of data
df.head()
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | @VirginAmerica What @dhepburn said. |
| 1 | positive | @VirginAmerica plus you've added commercials to the experience... tacky. |
| 2 | neutral | @VirginAmerica I didn't today... Must mean I need to take another trip! |
| 3 | negative | @VirginAmerica it's really aggressive to blast obnoxious "entertainment" in your guests' faces & they have little recourse |
| 4 | negative | @VirginAmerica and it's a really big bad thing about it |
# Define a function to strip html tags from the text
def strip_html(text):
soup = BeautifulSoup(text, "html.parser")
return soup.get_text()
# Apply the function to strip html tags from the text
df['text'] = df['text'].apply(lambda x: strip_html(x))
# Check the first 10 rows to see how the data has changed
df.head(10)
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | @VirginAmerica What @dhepburn said. |
| 1 | positive | @VirginAmerica plus you've added commercials to the experience... tacky. |
| 2 | neutral | @VirginAmerica I didn't today... Must mean I need to take another trip! |
| 3 | negative | @VirginAmerica it's really aggressive to blast obnoxious "entertainment" in your guests' faces & they have little recourse |
| 4 | negative | @VirginAmerica and it's a really big bad thing about it |
| 5 | negative | @VirginAmerica seriously would pay $30 a flight for seats that didn't have this playing.\nit's really the only bad thing about flying VA |
| 6 | positive | @VirginAmerica yes, nearly every time I fly VX this “ear worm” won’t go away :) |
| 7 | neutral | @VirginAmerica Really missed a prime opportunity for Men Without Hats parody, there. https://t.co/mWpG7grEZP |
| 8 | positive | @virginamerica Well, I didn't…but NOW I DO! :-D |
| 9 | positive | @VirginAmerica it was amazing, and arrived an hour early. You're too good to me. |
# Define function to remove http links using Regular Expression.
for i, row in df.iterrows():
clean_tweet = re.sub(r"http\S+", "", df.at[i, 'text'])
df.at[i,'text'] = clean_tweet
# Check the first 10 rows to see if it removed URLs
df.head(10)
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | @VirginAmerica What @dhepburn said. |
| 1 | positive | @VirginAmerica plus you've added commercials to the experience... tacky. |
| 2 | neutral | @VirginAmerica I didn't today... Must mean I need to take another trip! |
| 3 | negative | @VirginAmerica it's really aggressive to blast obnoxious "entertainment" in your guests' faces & they have little recourse |
| 4 | negative | @VirginAmerica and it's a really big bad thing about it |
| 5 | negative | @VirginAmerica seriously would pay $30 a flight for seats that didn't have this playing.\nit's really the only bad thing about flying VA |
| 6 | positive | @VirginAmerica yes, nearly every time I fly VX this “ear worm” won’t go away :) |
| 7 | neutral | @VirginAmerica Really missed a prime opportunity for Men Without Hats parody, there. |
| 8 | positive | @virginamerica Well, I didn't…but NOW I DO! :-D |
| 9 | positive | @VirginAmerica it was amazing, and arrived an hour early. You're too good to me. |
# Define a function to replay contractions in the text with their two word forms
def replace_contractions(text):
"""Replace contractions in string of text"""
return contractions.fix(text)
# Apply the function to remove contractions from the tweet text
df['text'] = df['text'].apply(lambda x: replace_contractions(x))
# Check the first 5 rows to see how the data has changed
df.head()
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | @VirginAmerica What @dhepburn said. |
| 1 | positive | @VirginAmerica plus you have added commercials to the experience... tacky. |
| 2 | neutral | @VirginAmerica I did not today... Must mean I need to take another trip! |
| 3 | negative | @VirginAmerica it is really aggressive to blast obnoxious "entertainment" in your guests' faces & they have little recourse |
| 4 | negative | @VirginAmerica and it is a really big bad thing about it |
# Show first 25 tweets to find some with numbers in them
df.head(25)
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | @VirginAmerica What @dhepburn said. |
| 1 | positive | @VirginAmerica plus you have added commercials to the experience... tacky. |
| 2 | neutral | @VirginAmerica I did not today... Must mean I need to take another trip! |
| 3 | negative | @VirginAmerica it is really aggressive to blast obnoxious "entertainment" in your guests' faces & they have little recourse |
| 4 | negative | @VirginAmerica and it is a really big bad thing about it |
| 5 | negative | @VirginAmerica seriously would pay $30 a flight for seats that did not have this playing.\nit is really the only bad thing about flying VA |
| 6 | positive | @VirginAmerica yes, nearly every time I fly VX this “ear worm” will not go away :) |
| 7 | neutral | @VirginAmerica Really missed a prime opportunity for Men Without Hats parody, there. |
| 8 | positive | @virginamerica Well, I did not…but NOW I DO! :-D |
| 9 | positive | @VirginAmerica it was amazing, and arrived an hour early. you are too good to me. |
| 10 | neutral | @VirginAmerica did you know that suicide is the second leading because of death among teens 10-24 |
| 11 | positive | @VirginAmerica I <3 pretty graphics. so much better than minimal iconography. :D |
| 12 | positive | @VirginAmerica This is such a great deal! Already thinking about my 2nd trip to @Australia & I have not even gone on my 1st trip yet! ;p |
| 13 | positive | @VirginAmerica @virginmedia I am flying your #fabulous #Seductive skies again! you take all the #stress away from travel |
| 14 | positive | @VirginAmerica Thanks! |
| 15 | negative | @VirginAmerica SFO-PDX schedule is still MIA. |
| 16 | positive | @VirginAmerica So excited for my first cross country flight LAX to MCO I have heard nothing but great things about Virgin America. #29DaysToGo |
| 17 | negative | @VirginAmerica I flew from NYC to SFO last week and could not fully sit in my seat due to two large gentleman on either side of me. HELP! |
| 18 | positive | I ❤️ flying @VirginAmerica. ☺️👍 |
| 19 | positive | @VirginAmerica you know what would be amazingly awesome? BOS-FLL PLEASE!!!!!!! I want to fly with only you. |
| 20 | negative | @VirginAmerica why are your first fares in May over three times more than other carriers when all seats are available to select??? |
| 21 | positive | @VirginAmerica I love this graphic. |
| 22 | positive | @VirginAmerica I love the hipster innovation. You are a feel good brand. |
| 23 | neutral | @VirginAmerica will you be making BOS>LAS non stop permanently anytime soon? |
| 24 | negative | @VirginAmerica you guys messed up my seating.. I reserved seating with my friends and you guys gave my seat away ... 😡 I want free internet |
# Define a function to remove numbers from the text of each tweet
def remove_numbers(text):
text = re.sub(r'\d+', '', text)
return text
# Apply the function to remove numbers from the tweet text
df['text'] = df['text'].apply(lambda x: remove_numbers(x))
# Check the first 25 rows to see how the data has changed
df.head(25)
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | @VirginAmerica What @dhepburn said. |
| 1 | positive | @VirginAmerica plus you have added commercials to the experience... tacky. |
| 2 | neutral | @VirginAmerica I did not today... Must mean I need to take another trip! |
| 3 | negative | @VirginAmerica it is really aggressive to blast obnoxious "entertainment" in your guests' faces & they have little recourse |
| 4 | negative | @VirginAmerica and it is a really big bad thing about it |
| 5 | negative | @VirginAmerica seriously would pay $ a flight for seats that did not have this playing.\nit is really the only bad thing about flying VA |
| 6 | positive | @VirginAmerica yes, nearly every time I fly VX this “ear worm” will not go away :) |
| 7 | neutral | @VirginAmerica Really missed a prime opportunity for Men Without Hats parody, there. |
| 8 | positive | @virginamerica Well, I did not…but NOW I DO! :-D |
| 9 | positive | @VirginAmerica it was amazing, and arrived an hour early. you are too good to me. |
| 10 | neutral | @VirginAmerica did you know that suicide is the second leading because of death among teens - |
| 11 | positive | @VirginAmerica I < pretty graphics. so much better than minimal iconography. :D |
| 12 | positive | @VirginAmerica This is such a great deal! Already thinking about my nd trip to @Australia & I have not even gone on my st trip yet! ;p |
| 13 | positive | @VirginAmerica @virginmedia I am flying your #fabulous #Seductive skies again! you take all the #stress away from travel |
| 14 | positive | @VirginAmerica Thanks! |
| 15 | negative | @VirginAmerica SFO-PDX schedule is still MIA. |
| 16 | positive | @VirginAmerica So excited for my first cross country flight LAX to MCO I have heard nothing but great things about Virgin America. #DaysToGo |
| 17 | negative | @VirginAmerica I flew from NYC to SFO last week and could not fully sit in my seat due to two large gentleman on either side of me. HELP! |
| 18 | positive | I ❤️ flying @VirginAmerica. ☺️👍 |
| 19 | positive | @VirginAmerica you know what would be amazingly awesome? BOS-FLL PLEASE!!!!!!! I want to fly with only you. |
| 20 | negative | @VirginAmerica why are your first fares in May over three times more than other carriers when all seats are available to select??? |
| 21 | positive | @VirginAmerica I love this graphic. |
| 22 | positive | @VirginAmerica I love the hipster innovation. You are a feel good brand. |
| 23 | neutral | @VirginAmerica will you be making BOS>LAS non stop permanently anytime soon? |
| 24 | negative | @VirginAmerica you guys messed up my seating.. I reserved seating with my friends and you guys gave my seat away ... 😡 I want free internet |
# Apply a lambda function with nltk's word_tokenize to tokenize the tweet text
df['text'] = df.apply(lambda row: nltk.word_tokenize(row['text']), axis=1)
# Check the first 5 rows to see how the data has changed
df.head()
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | [@, VirginAmerica, What, @, dhepburn, said, .] |
| 1 | positive | [@, VirginAmerica, plus, you, have, added, commercials, to, the, experience, ..., tacky, .] |
| 2 | neutral | [@, VirginAmerica, I, did, not, today, ..., Must, mean, I, need, to, take, another, trip, !] |
| 3 | negative | [@, VirginAmerica, it, is, really, aggressive, to, blast, obnoxious, ``, entertainment, '', in, your, guests, ', faces, &, they, have, little, recourse] |
| 4 | negative | [@, VirginAmerica, and, it, is, a, really, big, bad, thing, about, it] |
# Define a function to remove non-ASCII characters
def remove_non_ascii(words):
"""Remove non-ASCII characters from list of tokenized words"""
new_words = []
for word in words:
new_word = unicodedata.normalize('NFKD', word).encode('ascii', 'ignore').decode('utf-8', 'ignore')
new_words.append(new_word)
return new_words
# Apply the function to remove non-ASCII characters from the tweet text
df['text'] = df['text'].apply(lambda x: remove_non_ascii(x))
# Check the first 25 rows to see how the data has changed
df.head(25)
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | [@, VirginAmerica, What, @, dhepburn, said, .] |
| 1 | positive | [@, VirginAmerica, plus, you, have, added, commercials, to, the, experience, ..., tacky, .] |
| 2 | neutral | [@, VirginAmerica, I, did, not, today, ..., Must, mean, I, need, to, take, another, trip, !] |
| 3 | negative | [@, VirginAmerica, it, is, really, aggressive, to, blast, obnoxious, ``, entertainment, '', in, your, guests, ', faces, &, they, have, little, recourse] |
| 4 | negative | [@, VirginAmerica, and, it, is, a, really, big, bad, thing, about, it] |
| 5 | negative | [@, VirginAmerica, seriously, would, pay, $, a, flight, for, seats, that, did, not, have, this, playing, ., it, is, really, the, only, bad, thing, about, flying, VA] |
| 6 | positive | [@, VirginAmerica, yes, ,, nearly, every, time, I, fly, VX, this, , ear, worm, , will, not, go, away, :, )] |
| 7 | neutral | [@, VirginAmerica, Really, missed, a, prime, opportunity, for, Men, Without, Hats, parody, ,, there, .] |
| 8 | positive | [@, virginamerica, Well, ,, I, did, not...but, NOW, I, DO, !, :, -D] |
| 9 | positive | [@, VirginAmerica, it, was, amazing, ,, and, arrived, an, hour, early, ., you, are, too, good, to, me, .] |
| 10 | neutral | [@, VirginAmerica, did, you, know, that, suicide, is, the, second, leading, because, of, death, among, teens, -] |
| 11 | positive | [@, VirginAmerica, I, <, pretty, graphics, ., so, much, better, than, minimal, iconography, ., :, D] |
| 12 | positive | [@, VirginAmerica, This, is, such, a, great, deal, !, Already, thinking, about, my, nd, trip, to, @, Australia, &, I, have, not, even, gone, on, my, st, trip, yet, !, ;, p] |
| 13 | positive | [@, VirginAmerica, @, virginmedia, I, am, flying, your, #, fabulous, #, Seductive, skies, again, !, you, take, all, the, #, stress, away, from, travel] |
| 14 | positive | [@, VirginAmerica, Thanks, !] |
| 15 | negative | [@, VirginAmerica, SFO-PDX, schedule, is, still, MIA, .] |
| 16 | positive | [@, VirginAmerica, So, excited, for, my, first, cross, country, flight, LAX, to, MCO, I, have, heard, nothing, but, great, things, about, Virgin, America, ., #, DaysToGo] |
| 17 | negative | [@, VirginAmerica, I, flew, from, NYC, to, SFO, last, week, and, could, not, fully, sit, in, my, seat, due, to, two, large, gentleman, on, either, side, of, me, ., HELP, !] |
| 18 | positive | [I, , flying, @, VirginAmerica, ., ] |
| 19 | positive | [@, VirginAmerica, you, know, what, would, be, amazingly, awesome, ?, BOS-FLL, PLEASE, !, !, !, !, !, !, !, I, want, to, fly, with, only, you, .] |
| 20 | negative | [@, VirginAmerica, why, are, your, first, fares, in, May, over, three, times, more, than, other, carriers, when, all, seats, are, available, to, select, ?, ?, ?] |
| 21 | positive | [@, VirginAmerica, I, love, this, graphic, .] |
| 22 | positive | [@, VirginAmerica, I, love, the, hipster, innovation, ., You, are, a, feel, good, brand, .] |
| 23 | neutral | [@, VirginAmerica, will, you, be, making, BOS, >, LAS, non, stop, permanently, anytime, soon, ?] |
| 24 | negative | [@, VirginAmerica, you, guys, messed, up, my, seating.., I, reserved, seating, with, my, friends, and, you, guys, gave, my, seat, away, ..., , I, want, free, internet] |
# Define a function to remove punctuation from the text
def remove_punctuation(words):
"""Remove punctuation from list of tokenized words"""
new_words = []
for word in words:
new_word = re.sub(r'[^\w\s]', '', word)
if new_word != '':
new_words.append(new_word)
return new_words
# Apply the function to remove punctuation from the tweet text
df['text'] = df['text'].apply(lambda x: remove_punctuation(x))
# Check the first 5 rows to see how the data has changed
df.head()
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | [VirginAmerica, What, dhepburn, said] |
| 1 | positive | [VirginAmerica, plus, you, have, added, commercials, to, the, experience, tacky] |
| 2 | neutral | [VirginAmerica, I, did, not, today, Must, mean, I, need, to, take, another, trip] |
| 3 | negative | [VirginAmerica, it, is, really, aggressive, to, blast, obnoxious, entertainment, in, your, guests, faces, they, have, little, recourse] |
| 4 | negative | [VirginAmerica, and, it, is, a, really, big, bad, thing, about, it] |
# Define variable to use English stopwords and keep the word "not" bc it's important for sentiment analysis
stopwords = stopwords.words('english')
stopwords.remove('not')
# Define a function to remove stop words from the text
def remove_stopwords(words):
"""Remove stop words from list of tokenized words"""
new_words = [] # Create empty list to store pre-processed words.
for word in words:
if word not in stopwords:
new_words.append(word) # Append processed words to new list.
return new_words
# Apply the function to remove stop words from the tweet text
df['text'] = df['text'].apply(lambda x: remove_stopwords(x))
# Check the first 5 rows to see how the data has changed
df.head()
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | [VirginAmerica, What, dhepburn, said] |
| 1 | positive | [VirginAmerica, plus, added, commercials, experience, tacky] |
| 2 | neutral | [VirginAmerica, I, not, today, Must, mean, I, need, take, another, trip] |
| 3 | negative | [VirginAmerica, really, aggressive, blast, obnoxious, entertainment, guests, faces, little, recourse] |
| 4 | negative | [VirginAmerica, really, big, bad, thing] |
# Define a function to convert all words to lowercase
def to_lowercase(words):
"""Convert all characters to lowercase from list of tokenized words"""
new_words = []
for word in words:
new_word = word.lower()
new_words.append(new_word)
return new_words
# Apply the function to remove non-ASCII characters from the tweet text
df['text'] = df['text'].apply(lambda x: to_lowercase(x))
# Check the first 5 rows to see how the data has changed
df.head()
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | [virginamerica, what, dhepburn, said] |
| 1 | positive | [virginamerica, plus, added, commercials, experience, tacky] |
| 2 | neutral | [virginamerica, i, not, today, must, mean, i, need, take, another, trip] |
| 3 | negative | [virginamerica, really, aggressive, blast, obnoxious, entertainment, guests, faces, little, recourse] |
| 4 | negative | [virginamerica, really, big, bad, thing] |
# Define a function to lemmatize the words in the tweets
def lemmatize_list(words):
"""Lemmatize verbs in list of tokenized words"""
lemmatizer = WordNetLemmatizer()
lemmas = [] # Create empty list to store pre-processed words.
for word in words:
lemma = lemmatizer.lemmatize(word)
lemmas.append(lemma) # Append processed words to new list.
return lemmas
# Apply the function to lemmatize the words in each tweet
df['text'] = df['text'].apply(lambda x: lemmatize_list(x))
# Check the first 5 rows to see how the data has changed
df.head()
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | [virginamerica, what, dhepburn, said] |
| 1 | positive | [virginamerica, plus, added, commercial, experience, tacky] |
| 2 | neutral | [virginamerica, i, not, today, must, mean, i, need, take, another, trip] |
| 3 | negative | [virginamerica, really, aggressive, blast, obnoxious, entertainment, guest, face, little, recourse] |
| 4 | negative | [virginamerica, really, big, bad, thing] |
Join the words in the list to convert back to text string in the data frame. (So that each row contains the data in text format.
# Aggregate the preprocessing functions into one
def normalize(words):
words = remove_non_ascii(words)
words = remove_punctuation(words)
words = remove_stopwords(words)
words = to_lowercase(words)
words = lemmatize_list(words)
return ' '.join(words)
# Apply the aggregated function and join the words in the list to convert back to text string in df
df['text'] = df.apply(lambda row: normalize(row['text']), axis=1)
# Check the first 5 rows
df.head()
| airline_sentiment | text | |
|---|---|---|
| 0 | neutral | virginamerica dhepburn said |
| 1 | positive | virginamerica plus added commercial experience tacky |
| 2 | neutral | virginamerica not today must mean need take another trip |
| 3 | negative | virginamerica really aggressive blast obnoxious entertainment guest face little recourse |
| 4 | negative | virginamerica really big bad thing |
First, I want to see how common each word is so I'll know what limits to try for the max_features hyperparameter
# Create a copy of the dataframe
df_copy = df.copy()
# Tokenize the text column in the df copy so we can count word frequency
df_copy['text'] = df_copy.apply(lambda row: nltk.word_tokenize(row['text']), axis=1) # Tokenization of data
# Define a variable using the Counter() function
top = Counter([item for sublist in df_copy['text'] for item in sublist])
# Show the frequency of the words in the text column
freq = pd.DataFrame(top.most_common())
freq.columns = ['Common_words','count']
freq.style.background_gradient(cmap='Reds')
| Common_words | count | |
|---|---|---|
| 0 | flight | 4568 |
| 1 | united | 4160 |
| 2 | not | 3901 |
| 3 | usairways | 3051 |
| 4 | americanair | 2961 |
| 5 | southwestair | 2461 |
| 6 | jetblue | 2395 |
| 7 | get | 1376 |
| 8 | hour | 1161 |
| 9 | thanks | 1079 |
| 10 | cancelled | 1056 |
| 11 | service | 991 |
| 12 | time | 946 |
| 13 | customer | 934 |
| 14 | help | 872 |
| 15 | bag | 766 |
| 16 | u | 746 |
| 17 | would | 739 |
| 18 | plane | 726 |
| 19 | hold | 643 |
| 20 | need | 633 |
| 21 | thank | 603 |
| 22 | one | 580 |
| 23 | still | 579 |
| 24 | day | 569 |
| 25 | please | 564 |
| 26 | call | 561 |
| 27 | airline | 556 |
| 28 | gate | 542 |
| 29 | delayed | 536 |
| 30 | back | 526 |
| 31 | virginamerica | 523 |
| 32 | flightled | 507 |
| 33 | got | 481 |
| 34 | seat | 480 |
| 35 | phone | 454 |
| 36 | delay | 441 |
| 37 | like | 432 |
| 38 | today | 430 |
| 39 | hr | 430 |
| 40 | late | 426 |
| 41 | guy | 424 |
| 42 | agent | 416 |
| 43 | ticket | 383 |
| 44 | know | 382 |
| 45 | fly | 381 |
| 46 | min | 379 |
| 47 | make | 375 |
| 48 | airport | 368 |
| 49 | waiting | 367 |
| 50 | way | 365 |
| 51 | going | 364 |
| 52 | change | 361 |
| 53 | could | 356 |
| 54 | minute | 354 |
| 55 | trying | 348 |
| 56 | go | 339 |
| 57 | great | 335 |
| 58 | wait | 326 |
| 59 | never | 318 |
| 60 | flying | 313 |
| 61 | problem | 313 |
| 62 | tomorrow | 309 |
| 63 | weather | 307 |
| 64 | last | 306 |
| 65 | really | 302 |
| 66 | good | 299 |
| 67 | take | 298 |
| 68 | even | 297 |
| 69 | want | 294 |
| 70 | home | 294 |
| 71 | people | 289 |
| 72 | love | 282 |
| 73 | aa | 282 |
| 74 | issue | 274 |
| 75 | another | 273 |
| 76 | dm | 272 |
| 77 | new | 270 |
| 78 | check | 270 |
| 79 | told | 269 |
| 80 | work | 268 |
| 81 | see | 266 |
| 82 | say | 264 |
| 83 | first | 263 |
| 84 | luggage | 263 |
| 85 | 261 | |
| 86 | number | 258 |
| 87 | travel | 249 |
| 88 | ever | 246 |
| 89 | let | 246 |
| 90 | getting | 245 |
| 91 | crew | 245 |
| 92 | due | 242 |
| 93 | yes | 241 |
| 94 | lost | 241 |
| 95 | worst | 240 |
| 96 | someone | 238 |
| 97 | next | 234 |
| 98 | reservation | 233 |
| 99 | passenger | 233 |
| 100 | much | 229 |
| 101 | baggage | 229 |
| 102 | trip | 228 |
| 103 | ua | 226 |
| 104 | flighted | 224 |
| 105 | two | 221 |
| 106 | right | 216 |
| 107 | experience | 215 |
| 108 | response | 215 |
| 109 | made | 213 |
| 110 | line | 207 |
| 111 | give | 205 |
| 112 | week | 199 |
| 113 | online | 198 |
| 114 | sitting | 195 |
| 115 | best | 191 |
| 116 | jfk | 188 |
| 117 | sent | 188 |
| 118 | connection | 187 |
| 119 | bad | 186 |
| 120 | staff | 186 |
| 121 | boarding | 184 |
| 122 | better | 182 |
| 123 | long | 181 |
| 124 | said | 180 |
| 125 | book | 180 |
| 126 | already | 179 |
| 127 | left | 179 |
| 128 | sure | 179 |
| 129 | since | 176 |
| 130 | pm | 173 |
| 131 | booked | 173 |
| 132 | stuck | 171 |
| 133 | mile | 167 |
| 134 | keep | 166 |
| 135 | morning | 165 |
| 136 | tell | 165 |
| 137 | look | 164 |
| 138 | well | 163 |
| 139 | tonight | 163 |
| 140 | w | 163 |
| 141 | system | 163 |
| 142 | miss | 162 |
| 143 | think | 162 |
| 144 | flightr | 162 |
| 145 | website | 160 |
| 146 | care | 160 |
| 147 | find | 159 |
| 148 | hotel | 156 |
| 149 | night | 155 |
| 150 | yet | 154 |
| 151 | nothing | 154 |
| 152 | flt | 154 |
| 153 | refund | 153 |
| 154 | update | 152 |
| 155 | fleet | 152 |
| 156 | fleek | 152 |
| 157 | use | 151 |
| 158 | booking | 149 |
| 159 | dfw | 148 |
| 160 | put | 148 |
| 161 | attendant | 147 |
| 162 | tried | 146 |
| 163 | info | 145 |
| 164 | year | 144 |
| 165 | pilot | 142 |
| 166 | hope | 142 |
| 167 | rebooked | 142 |
| 168 | air | 141 |
| 169 | pay | 139 |
| 170 | called | 137 |
| 171 | answer | 137 |
| 172 | anything | 136 |
| 173 | rude | 135 |
| 174 | missed | 133 |
| 175 | ago | 133 |
| 176 | also | 133 |
| 177 | thing | 132 |
| 178 | nice | 132 |
| 179 | done | 132 |
| 180 | voucher | 132 |
| 181 | free | 131 |
| 182 | credit | 129 |
| 183 | follow | 129 |
| 184 | point | 128 |
| 185 | rep | 128 |
| 186 | rebook | 128 |
| 187 | class | 126 |
| 188 | wifi | 126 |
| 189 | finally | 125 |
| 190 | lax | 124 |
| 191 | come | 124 |
| 192 | awesome | 123 |
| 193 | st | 122 |
| 194 | option | 122 |
| 195 | employee | 122 |
| 196 | able | 121 |
| 197 | upgrade | 121 |
| 198 | board | 121 |
| 199 | checked | 120 |
| 200 | business | 118 |
| 201 | every | 117 |
| 202 | b | 116 |
| 203 | working | 115 |
| 204 | fee | 115 |
| 205 | appreciate | 115 |
| 206 | anyone | 114 |
| 207 | missing | 112 |
| 208 | looking | 112 |
| 209 | team | 111 |
| 210 | sfo | 110 |
| 211 | via | 110 |
| 212 | phl | 110 |
| 213 | delta | 110 |
| 214 | available | 109 |
| 215 | status | 109 |
| 216 | app | 109 |
| 217 | person | 109 |
| 218 | soon | 108 |
| 219 | show | 108 |
| 220 | always | 108 |
| 221 | possible | 107 |
| 222 | yesterday | 107 |
| 223 | without | 106 |
| 224 | name | 106 |
| 225 | making | 105 |
| 226 | thx | 105 |
| 227 | leave | 105 |
| 228 | many | 105 |
| 229 | claim | 105 |
| 230 | suck | 105 |
| 231 | ok | 104 |
| 232 | pa | 103 |
| 233 | sorry | 102 |
| 234 | dca | 102 |
| 235 | helpful | 102 |
| 236 | terrible | 102 |
| 237 | understand | 102 |
| 238 | disappointed | 101 |
| 239 | departure | 101 |
| 240 | open | 100 |
| 241 | fail | 99 |
| 242 | instead | 99 |
| 243 | amazing | 98 |
| 244 | extra | 98 |
| 245 | early | 97 |
| 246 | speak | 97 |
| 247 | bc | 97 |
| 248 | fix | 97 |
| 249 | friend | 96 |
| 250 | southwest | 96 |
| 251 | send | 96 |
| 252 | money | 95 |
| 253 | almost | 95 |
| 254 | ord | 95 |
| 255 | though | 94 |
| 256 | lot | 94 |
| 257 | site | 93 |
| 258 | hi | 93 |
| 259 | rt | 93 |
| 260 | earlier | 93 |
| 261 | paid | 93 |
| 262 | contact | 93 |
| 263 | tweet | 93 |
| 264 | talk | 93 |
| 265 | clt | 93 |
| 266 | try | 92 |
| 267 | chance | 92 |
| 268 | mean | 91 |
| 269 | stop | 91 |
| 270 | happy | 91 |
| 271 | took | 91 |
| 272 | la | 90 |
| 273 | add | 90 |
| 274 | different | 90 |
| 275 | connecting | 90 |
| 276 | policy | 90 |
| 277 | job | 90 |
| 278 | family | 90 |
| 279 | company | 90 |
| 280 | supposed | 89 |
| 281 | card | 89 |
| 282 | member | 89 |
| 283 | hung | 89 |
| 284 | something | 89 |
| 285 | airway | 89 |
| 286 | vega | 88 |
| 287 | unacceptable | 88 |
| 288 | received | 88 |
| 289 | ridiculous | 88 |
| 290 | least | 87 |
| 291 | wife | 87 |
| 292 | month | 87 |
| 293 | question | 87 |
| 294 | full | 87 |
| 295 | ground | 87 |
| 296 | everyone | 87 |
| 297 | start | 86 |
| 298 | direct | 86 |
| 299 | actually | 86 |
| 300 | oh | 86 |
| 301 | dallas | 85 |
| 302 | stranded | 85 |
| 303 | boston | 85 |
| 304 | poor | 85 |
| 305 | bos | 84 |
| 306 | reason | 84 |
| 307 | tarmac | 84 |
| 308 | th | 83 |
| 309 | horrible | 83 |
| 310 | message | 83 |
| 311 | destinationdragons | 83 |
| 312 | chicago | 82 |
| 313 | account | 80 |
| 314 | calling | 80 |
| 315 | old | 80 |
| 316 | charge | 80 |
| 317 | denver | 80 |
| 318 | found | 80 |
| 319 | seriously | 79 |
| 320 | ewr | 79 |
| 321 | landed | 79 |
| 322 | 79 | |
| 323 | taking | 79 |
| 324 | american | 79 |
| 325 | ur | 78 |
| 326 | leaving | 78 |
| 327 | offer | 78 |
| 328 | snow | 78 |
| 329 | maybe | 78 |
| 330 | vacation | 78 |
| 331 | san | 77 |
| 332 | reply | 77 |
| 333 | far | 77 |
| 334 | food | 76 |
| 335 | desk | 76 |
| 336 | wrong | 76 |
| 337 | away | 74 |
| 338 | might | 74 |
| 339 | c | 74 |
| 340 | gave | 73 |
| 341 | kid | 73 |
| 342 | return | 72 |
| 343 | cost | 72 |
| 344 | half | 72 |
| 345 | enough | 72 |
| 346 | big | 71 |
| 347 | sit | 71 |
| 348 | coming | 71 |
| 349 | destination | 71 |
| 350 | complaint | 71 |
| 351 | nyc | 70 |
| 352 | hey | 70 |
| 353 | frustrated | 70 |
| 354 | confirmation | 70 |
| 355 | past | 70 |
| 356 | may | 69 |
| 357 | three | 69 |
| 358 | went | 69 |
| 359 | mechanical | 69 |
| 360 | car | 69 |
| 361 | little | 68 |
| 362 | together | 68 |
| 363 | plan | 68 |
| 364 | row | 68 |
| 365 | twice | 68 |
| 366 | feel | 67 |
| 367 | using | 67 |
| 368 | changed | 67 |
| 369 | link | 67 |
| 370 | stay | 67 |
| 371 | asked | 67 |
| 372 | deal | 66 |
| 373 | broken | 66 |
| 374 | le | 66 |
| 375 | apology | 65 |
| 376 | charlotte | 65 |
| 377 | runway | 65 |
| 378 | cool | 64 |
| 379 | saying | 64 |
| 380 | idea | 64 |
| 381 | around | 63 |
| 382 | wa | 63 |
| 383 | pls | 63 |
| 384 | terminal | 63 |
| 385 | used | 63 |
| 386 | longer | 62 |
| 387 | worse | 62 |
| 388 | newark | 62 |
| 389 | guess | 62 |
| 390 | life | 61 |
| 391 | error | 61 |
| 392 | landing | 61 |
| 393 | traveling | 61 |
| 394 | second | 60 |
| 395 | city | 60 |
| 396 | dc | 60 |
| 397 | given | 60 |
| 398 | else | 60 |
| 399 | awful | 60 |
| 400 | real | 60 |
| 401 | plus | 59 |
| 402 | price | 59 |
| 403 | computer | 59 |
| 404 | houston | 59 |
| 405 | room | 59 |
| 406 | phx | 59 |
| 407 | iad | 58 |
| 408 | scheduled | 58 |
| 409 | waited | 58 |
| 410 | checkin | 58 |
| 411 | telling | 58 |
| 412 | seems | 57 |
| 413 | lack | 57 |
| 414 | thru | 57 |
| 415 | hear | 57 |
| 416 | frustrating | 57 |
| 417 | arrived | 56 |
| 418 | heard | 56 |
| 419 | hard | 56 |
| 420 | thought | 56 |
| 421 | k | 56 |
| 422 | lol | 56 |
| 423 | philly | 56 |
| 424 | believe | 56 |
| 425 | pick | 56 |
| 426 | fare | 55 |
| 427 | happened | 55 |
| 428 | end | 55 |
| 429 | sat | 55 |
| 430 | fll | 55 |
| 431 | request | 55 |
| 432 | international | 55 |
| 433 | jet | 55 |
| 434 | hang | 55 |
| 435 | nd | 54 |
| 436 | everything | 54 |
| 437 | cust | 54 |
| 438 | information | 54 |
| 439 | arrive | 54 |
| 440 | reflight | 54 |
| 441 | human | 53 |
| 442 | assistance | 53 |
| 443 | monday | 53 |
| 444 | standby | 53 |
| 445 | leg | 53 |
| 446 | maintenance | 53 |
| 447 | swa | 53 |
| 448 | lga | 52 |
| 449 | award | 52 |
| 450 | process | 52 |
| 451 | quick | 52 |
| 452 | place | 52 |
| 453 | hoping | 52 |
| 454 | loyal | 52 |
| 455 | miami | 52 |
| 456 | route | 51 |
| 457 | glad | 51 |
| 458 | iah | 51 |
| 459 | world | 50 |
| 460 | forward | 50 |
| 461 | expect | 50 |
| 462 | joke | 50 |
| 463 | counting | 50 |
| 464 | usair | 50 |
| 465 | club | 49 |
| 466 | wanted | 49 |
| 467 | ceo | 49 |
| 468 | group | 49 |
| 469 | ask | 49 |
| 470 | reach | 49 |
| 471 | busy | 49 |
| 472 | tv | 48 |
| 473 | checking | 48 |
| 474 | case | 48 |
| 475 | form | 48 |
| 476 | communication | 48 |
| 477 | date | 48 |
| 478 | sw | 48 |
| 479 | flyer | 47 |
| 480 | wish | 47 |
| 481 | child | 47 |
| 482 | word | 47 |
| 483 | needed | 47 |
| 484 | spent | 47 |
| 485 | den | 47 |
| 486 | bring | 46 |
| 487 | paying | 46 |
| 488 | yr | 46 |
| 489 | address | 46 |
| 490 | boarded | 46 |
| 491 | run | 46 |
| 492 | asking | 46 |
| 493 | unitedairlines | 46 |
| 494 | hate | 46 |
| 495 | sunday | 46 |
| 496 | imaginedragons | 46 |
| 497 | blue | 46 |
| 498 | flew | 45 |
| 499 | wow | 45 |
| 500 | traveler | 45 |
| 501 | yeah | 45 |
| 502 | buy | 45 |
| 503 | entire | 45 |
| 504 | empty | 45 |
| 505 | counter | 45 |
| 506 | bwi | 45 |
| 507 | bought | 44 |
| 508 | provide | 44 |
| 509 | lose | 44 |
| 510 | carry | 44 |
| 511 | currently | 44 |
| 512 | drive | 44 |
| 513 | taken | 44 |
| 514 | pretty | 43 |
| 515 | mco | 43 |
| 516 | worry | 43 |
| 517 | rock | 43 |
| 518 | happens | 43 |
| 519 | respond | 43 |
| 520 | helping | 43 |
| 521 | whole | 43 |
| 522 | flighting | 43 |
| 523 | supervisor | 43 |
| 524 | hopefully | 43 |
| 525 | either | 42 |
| 526 | tsa | 42 |
| 527 | kind | 42 |
| 528 | rather | 42 |
| 529 | seem | 42 |
| 530 | happen | 42 |
| 531 | fault | 42 |
| 532 | live | 42 |
| 533 | companion | 42 |
| 534 | beyond | 41 |
| 535 | moved | 41 |
| 536 | confirmed | 41 |
| 537 | treat | 41 |
| 538 | wtf | 41 |
| 539 | future | 41 |
| 540 | detail | 41 |
| 541 | sleep | 41 |
| 542 | situation | 41 |
| 543 | flightlations | 41 |
| 544 | appreciated | 41 |
| 545 | holding | 41 |
| 546 | support | 40 |
| 547 | fine | 40 |
| 548 | correct | 40 |
| 549 | super | 40 |
| 550 | ready | 40 |
| 551 | storm | 40 |
| 552 | okay | 40 |
| 553 | figure | 40 |
| 554 | nashville | 40 |
| 555 | automated | 40 |
| 556 | high | 39 |
| 557 | land | 39 |
| 558 | cabin | 39 |
| 559 | safety | 39 |
| 560 | upset | 39 |
| 561 | record | 39 |
| 562 | medium | 38 |
| 563 | sad | 38 |
| 564 | offered | 38 |
| 565 | apparently | 38 |
| 566 | handle | 38 |
| 567 | drink | 38 |
| 568 | access | 38 |
| 569 | easy | 38 |
| 570 | x | 38 |
| 571 | set | 38 |
| 572 | part | 38 |
| 573 | atl | 38 |
| 574 | tuesday | 38 |
| 575 | atlanta | 37 |
| 576 | share | 37 |
| 577 | layover | 37 |
| 578 | customerservice | 37 |
| 579 | flown | 37 |
| 580 | completely | 37 |
| 581 | r | 37 |
| 582 | probably | 37 |
| 583 | orlando | 37 |
| 584 | read | 37 |
| 585 | top | 37 |
| 586 | door | 37 |
| 587 | switch | 37 |
| 588 | following | 37 |
| 589 | disconnected | 37 |
| 590 | must | 36 |
| 591 | running | 36 |
| 592 | priority | 36 |
| 593 | reschedule | 36 |
| 594 | charged | 36 |
| 595 | helped | 36 |
| 596 | luck | 36 |
| 597 | platinum | 36 |
| 598 | zero | 36 |
| 599 | weekend | 36 |
| 600 | compensation | 36 |
| 601 | original | 36 |
| 602 | fact | 36 |
| 603 | lie | 36 |
| 604 | huge | 36 |
| 605 | schedule | 35 |
| 606 | cold | 35 |
| 607 | middle | 35 |
| 608 | inflight | 35 |
| 609 | giving | 35 |
| 610 | austin | 35 |
| 611 | husband | 35 |
| 612 | shit | 35 |
| 613 | matter | 35 |
| 614 | clothes | 35 |
| 615 | lounge | 35 |
| 616 | delivered | 35 |
| 617 | seen | 35 |
| 618 | allowed | 35 |
| 619 | sending | 35 |
| 620 | losing | 35 |
| 621 | wall | 35 |
| 622 | allow | 35 |
| 623 | load | 34 |
| 624 | report | 34 |
| 625 | fun | 34 |
| 626 | several | 34 |
| 627 | purchase | 34 |
| 628 | space | 34 |
| 629 | daughter | 34 |
| 630 | mom | 34 |
| 631 | winter | 34 |
| 632 | arrival | 34 |
| 633 | changing | 34 |
| 634 | country | 33 |
| 635 | feb | 33 |
| 636 | oscar | 33 |
| 637 | trouble | 33 |
| 638 | flightlation | 33 |
| 639 | came | 33 |
| 640 | despite | 33 |
| 641 | explain | 33 |
| 642 | aircraft | 33 |
| 643 | extremely | 33 |
| 644 | front | 33 |
| 645 | list | 33 |
| 646 | rdu | 33 |
| 647 | meal | 33 |
| 648 | crazy | 33 |
| 649 | water | 33 |
| 650 | letter | 33 |
| 651 | dividend | 33 |
| 652 | birthday | 32 |
| 653 | answering | 32 |
| 654 | notification | 32 |
| 655 | gold | 32 |
| 656 | inconvenience | 32 |
| 657 | spoke | 32 |
| 658 | rd | 32 |
| 659 | tix | 32 |
| 660 | ppl | 32 |
| 661 | baby | 32 |
| 662 | drop | 32 |
| 663 | note | 32 |
| 664 | unfortunately | 32 |
| 665 | fixed | 32 |
| 666 | unable | 32 |
| 667 | id | 32 |
| 668 | multiple | 32 |
| 669 | sense | 32 |
| 670 | attitude | 32 |
| 671 | hello | 32 |
| 672 | four | 31 |
| 673 | mobile | 31 |
| 674 | folk | 31 |
| 675 | friday | 31 |
| 676 | choice | 31 |
| 677 | item | 31 |
| 678 | area | 31 |
| 679 | rescheduled | 31 |
| 680 | complete | 31 |
| 681 | knew | 31 |
| 682 | held | 31 |
| 683 | true | 31 |
| 684 | virgin | 30 |
| 685 | non | 30 |
| 686 | f | 30 |
| 687 | news | 30 |
| 688 | sign | 30 |
| 689 | page | 30 |
| 690 | lady | 30 |
| 691 | code | 30 |
| 692 | totally | 30 |
| 693 | fl | 30 |
| 694 | afternoon | 30 |
| 695 | absolutely | 30 |
| 696 | round | 30 |
| 697 | mileage | 30 |
| 698 | meeting | 30 |
| 699 | overnight | 30 |
| 700 | concern | 30 |
| 701 | mine | 30 |
| 702 | excuse | 30 |
| 703 | kudos | 30 |
| 704 | confirm | 30 |
| 705 | nope | 30 |
| 706 | responding | 30 |
| 707 | dealing | 30 |
| 708 | control | 30 |
| 709 | treated | 30 |
| 710 | relation | 30 |
| 711 | haha | 30 |
| 712 | mia | 29 |
| 713 | program | 29 |
| 714 | friendly | 29 |
| 715 | americanairlines | 29 |
| 716 | itinerary | 29 |
| 717 | small | 29 |
| 718 | turn | 29 |
| 719 | course | 29 |
| 720 | learn | 29 |
| 721 | overhead | 29 |
| 722 | wonderful | 29 |
| 723 | son | 29 |
| 724 | worth | 29 |
| 725 | literally | 29 |
| 726 | showing | 29 |
| 727 | social | 29 |
| 728 | bna | 29 |
| 729 | plz | 28 |
| 730 | ride | 28 |
| 731 | anyway | 28 |
| 732 | nonstop | 28 |
| 733 | closed | 28 |
| 734 | spend | 28 |
| 735 | ny | 28 |
| 736 | bit | 28 |
| 737 | window | 28 |
| 738 | evening | 28 |
| 739 | excellent | 28 |
| 740 | man | 28 |
| 741 | saw | 28 |
| 742 | short | 28 |
| 743 | connect | 28 |
| 744 | tag | 28 |
| 745 | n | 28 |
| 746 | office | 28 |
| 747 | ha | 28 |
| 748 | explanation | 28 |
| 749 | excited | 27 |
| 750 | watch | 27 |
| 751 | saturday | 27 |
| 752 | depart | 27 |
| 753 | passbook | 27 |
| 754 | march | 27 |
| 755 | story | 27 |
| 756 | submitted | 27 |
| 757 | wo | 27 |
| 758 | anymore | 27 |
| 759 | anywhere | 27 |
| 760 | mistake | 27 |
| 761 | arriving | 27 |
| 762 | conf | 27 |
| 763 | feedback | 27 |
| 764 | offering | 27 |
| 765 | move | 27 |
| 766 | neveragain | 27 |
| 767 | letting | 27 |
| 768 | failure | 27 |
| 769 | airplane | 27 |
| 770 | however | 27 |
| 771 | mess | 27 |
| 772 | volume | 27 |
| 773 | gone | 26 |
| 774 | seating | 26 |
| 775 | hand | 26 |
| 776 | win | 26 |
| 777 | mind | 26 |
| 778 | step | 26 |
| 779 | kept | 26 |
| 780 | web | 26 |
| 781 | center | 26 |
| 782 | behind | 26 |
| 783 | forced | 26 |
| 784 | rate | 26 |
| 785 | receipt | 26 |
| 786 | worked | 26 |
| 787 | advisory | 26 |
| 788 | followed | 26 |
| 789 | phoenix | 26 |
| 790 | ice | 26 |
| 791 | catch | 26 |
| 792 | usairwaysfail | 26 |
| 793 | failed | 26 |
| 794 | reward | 26 |
| 795 | entertainment | 25 |
| 796 | p | 25 |
| 797 | takeoff | 25 |
| 798 | view | 25 |
| 799 | video | 25 |
| 800 | btw | 25 |
| 801 | post | 25 |
| 802 | dollar | 25 |
| 803 | started | 25 |
| 804 | others | 25 |
| 805 | domestic | 25 |
| 806 | resolved | 25 |
| 807 | ruined | 25 |
| 808 | merger | 25 |
| 809 | state | 25 |
| 810 | fan | 25 |
| 811 | cover | 25 |
| 812 | none | 25 |
| 813 | bumped | 25 |
| 814 | funeral | 25 |
| 815 | dragon | 25 |
| 816 | close | 25 |
| 817 | warm | 25 |
| 818 | select | 24 |
| 819 | dropped | 24 |
| 820 | receive | 24 |
| 821 | stuff | 24 |
| 822 | sound | 24 |
| 823 | frequent | 24 |
| 824 | happening | 24 |
| 825 | bank | 24 |
| 826 | svc | 24 |
| 827 | transfer | 24 |
| 828 | refuse | 24 |
| 829 | finger | 24 |
| 830 | flightd | 24 |
| 831 | caused | 24 |
| 832 | captain | 24 |
| 833 | updated | 24 |
| 834 | power | 24 |
| 835 | safe | 24 |
| 836 | sky | 23 |
| 837 | useless | 23 |
| 838 | special | 23 |
| 839 | assist | 23 |
| 840 | notice | 23 |
| 841 | expected | 23 |
| 842 | filed | 23 |
| 843 | order | 23 |
| 844 | h | 23 |
| 845 | moving | 23 |
| 846 | intl | 23 |
| 847 | unhelpful | 23 |
| 848 | train | 23 |
| 849 | tired | 23 |
| 850 | keeping | 23 |
| 851 | promise | 23 |
| 852 | single | 23 |
| 853 | acceptable | 23 |
| 854 | party | 23 |
| 855 | current | 22 |
| 856 | text | 22 |
| 857 | representative | 22 |
| 858 | absolute | 22 |
| 859 | definitely | 22 |
| 860 | count | 22 |
| 861 | charging | 22 |
| 862 | mexico | 22 |
| 863 | philadelphia | 22 |
| 864 | avgeek | 22 |
| 865 | cut | 22 |
| 866 | regarding | 22 |
| 867 | resolve | 22 |
| 868 | security | 22 |
| 869 | total | 22 |
| 870 | announcement | 22 |
| 871 | unhappy | 22 |
| 872 | file | 22 |
| 873 | onto | 22 |
| 874 | forgot | 22 |
| 875 | major | 22 |
| 876 | final | 22 |
| 877 | fair | 22 |
| 878 | damn | 22 |
| 879 | head | 22 |
| 880 | doe | 22 |
| 881 | woman | 22 |
| 882 | cc | 22 |
| 883 | impressed | 22 |
| 884 | screwed | 22 |
| 885 | suggestion | 22 |
| 886 | talked | 22 |
| 887 | kidding | 22 |
| 888 | fucking | 22 |
| 889 | except | 22 |
| 890 | sister | 22 |
| 891 | especially | 22 |
| 892 | callback | 22 |
| 893 | tmrw | 22 |
| 894 | snack | 22 |
| 895 | street | 22 |
| 896 | carrier | 21 |
| 897 | match | 21 |
| 898 | planned | 21 |
| 899 | mention | 21 |
| 900 | suitcase | 21 |
| 901 | funny | 21 |
| 902 | nightmare | 21 |
| 903 | actual | 21 |
| 904 | rule | 21 |
| 905 | willing | 21 |
| 906 | equipment | 21 |
| 907 | bird | 21 |
| 908 | pathetic | 21 |
| 909 | talking | 21 |
| 910 | screw | 21 |
| 911 | premier | 21 |
| 912 | clear | 21 |
| 913 | fit | 21 |
| 914 | difference | 21 |
| 915 | badservice | 21 |
| 916 | hell | 21 |
| 917 | answered | 21 |
| 918 | compensate | 21 |
| 919 | hanging | 21 |
| 920 | per | 21 |
| 921 | enjoy | 21 |
| 922 | south | 21 |
| 923 | fantastic | 21 |
| 924 | added | 20 |
| 925 | america | 20 |
| 926 | emailed | 20 |
| 927 | seattle | 20 |
| 928 | e | 20 |
| 929 | smh | 20 |
| 930 | headed | 20 |
| 931 | requested | 20 |
| 932 | wondering | 20 |
| 933 | sort | 20 |
| 934 | resolution | 20 |
| 935 | provided | 20 |
| 936 | solution | 20 |
| 937 | picked | 20 |
| 938 | fyi | 20 |
| 939 | favorite | 20 |
| 940 | uk | 20 |
| 941 | break | 20 |
| 942 | crossed | 20 |
| 943 | usually | 20 |
| 944 | tweeting | 20 |
| 945 | wasted | 20 |
| 946 | photo | 20 |
| 947 | tho | 20 |
| 948 | denied | 20 |
| 949 | angry | 20 |
| 950 | departing | 20 |
| 951 | sick | 20 |
| 952 | listening | 20 |
| 953 | onboard | 20 |
| 954 | bother | 20 |
| 955 | broke | 20 |
| 956 | visit | 20 |
| 957 | bus | 20 |
| 958 | refused | 20 |
| 959 | god | 20 |
| 960 | handled | 20 |
| 961 | catering | 20 |
| 962 | unbelievable | 20 |
| 963 | department | 20 |
| 964 | phlairport | 20 |
| 965 | foot | 19 |
| 966 | imagine | 19 |
| 967 | welcome | 19 |
| 968 | fuck | 19 |
| 969 | iphone | 19 |
| 970 | trust | 19 |
| 971 | loved | 19 |
| 972 | lovely | 19 |
| 973 | slow | 19 |
| 974 | rental | 19 |
| 975 | waste | 19 |
| 976 | likely | 19 |
| 977 | experienced | 19 |
| 978 | diego | 19 |
| 979 | battle | 19 |
| 980 | serious | 19 |
| 981 | preferred | 19 |
| 982 | emergency | 19 |
| 983 | attempt | 19 |
| 984 | standing | 19 |
| 985 | switched | 19 |
| 986 | wonder | 19 |
| 987 | impossible | 19 |
| 988 | delivery | 19 |
| 989 | yo | 19 |
| 990 | refunded | 19 |
| 991 | touch | 19 |
| 992 | personal | 19 |
| 993 | deliver | 19 |
| 994 | brother | 19 |
| 995 | important | 19 |
| 996 | choose | 19 |
| 997 | hire | 19 |
| 998 | condition | 19 |
| 999 | clearly | 19 |
| 1000 | turned | 19 |
| 1001 | appease | 19 |
| 1002 | chairman | 19 |
| 1003 | internet | 18 |
| 1004 | expensive | 18 |
| 1005 | adding | 18 |
| 1006 | tracking | 18 |
| 1007 | game | 18 |
| 1008 | disappointing | 18 |
| 1009 | bin | 18 |
| 1010 | midnight | 18 |
| 1011 | alone | 18 |
| 1012 | purchased | 18 |
| 1013 | ugh | 18 |
| 1014 | along | 18 |
| 1015 | arrives | 18 |
| 1016 | coffee | 18 |
| 1017 | event | 18 |
| 1018 | screen | 18 |
| 1019 | partner | 18 |
| 1020 | stewardess | 18 |
| 1021 | save | 18 |
| 1022 | filled | 18 |
| 1023 | auto | 18 |
| 1024 | badcustomerservice | 18 |
| 1025 | dmed | 18 |
| 1026 | dept | 18 |
| 1027 | coach | 18 |
| 1028 | honor | 18 |
| 1029 | flightling | 18 |
| 1030 | pas | 18 |
| 1031 | inside | 18 |
| 1032 | effort | 18 |
| 1033 | shot | 18 |
| 1034 | ohare | 18 |
| 1035 | exactly | 18 |
| 1036 | etc | 18 |
| 1037 | sell | 18 |
| 1038 | level | 18 |
| 1039 | speaking | 18 |
| 1040 | freezing | 18 |
| 1041 | engine | 18 |
| 1042 | fa | 18 |
| 1043 | till | 18 |
| 1044 | upgraded | 18 |
| 1045 | gotten | 18 |
| 1046 | cheap | 18 |
| 1047 | discount | 18 |
| 1048 | notified | 18 |
| 1049 | leaf | 18 |
| 1050 | exit | 18 |
| 1051 | wednesday | 18 |
| 1052 | trueblue | 18 |
| 1053 | commercial | 17 |
| 1054 | february | 17 |
| 1055 | congrats | 17 |
| 1056 | music | 17 |
| 1057 | premium | 17 |
| 1058 | infant | 17 |
| 1059 | expired | 17 |
| 1060 | daily | 17 |
| 1061 | pdx | 17 |
| 1062 | based | 17 |
| 1063 | watching | 17 |
| 1064 | usa | 17 |
| 1065 | degree | 17 |
| 1066 | sold | 17 |
| 1067 | promised | 17 |
| 1068 | continue | 17 |
| 1069 | omg | 17 |
| 1070 | starting | 17 |
| 1071 | additional | 17 |
| 1072 | carryon | 17 |
| 1073 | accommodate | 17 |
| 1074 | main | 17 |
| 1075 | outside | 17 |
| 1076 | training | 17 |
| 1077 | mileageplus | 17 |
| 1078 | ahead | 17 |
| 1079 | yep | 17 |
| 1080 | previous | 17 |
| 1081 | diff | 17 |
| 1082 | consider | 17 |
| 1083 | florida | 17 |
| 1084 | patience | 17 |
| 1085 | forever | 17 |
| 1086 | fast | 17 |
| 1087 | disconnect | 17 |
| 1088 | known | 17 |
| 1089 | amount | 17 |
| 1090 | eventually | 17 |
| 1091 | plenty | 17 |
| 1092 | patient | 17 |
| 1093 | alert | 17 |
| 1094 | nc | 17 |
| 1095 | admiral | 17 |
| 1096 | columbus | 17 |
| 1097 | dfwairport | 17 |
| 1098 | cross | 16 |
| 1099 | eat | 16 |
| 1100 | hawaii | 16 |
| 1101 | dal | 16 |
| 1102 | enter | 16 |
| 1103 | across | 16 |
| 1104 | damaged | 16 |
| 1105 | met | 16 |
| 1106 | faster | 16 |
| 1107 | spring | 16 |
| 1108 | sweet | 16 |
| 1109 | girl | 16 |
| 1110 | hot | 16 |
| 1111 | treatment | 16 |
| 1112 | ball | 16 |
| 1113 | couple | 16 |
| 1114 | avail | 16 |
| 1115 | cheer | 16 |
| 1116 | bday | 16 |
| 1117 | moment | 16 |
| 1118 | suppose | 16 |
| 1119 | truly | 16 |
| 1120 | third | 16 |
| 1121 | incredibly | 16 |
| 1122 | character | 16 |
| 1123 | remember | 16 |
| 1124 | taxi | 16 |
| 1125 | within | 16 |
| 1126 | nobody | 16 |
| 1127 | clue | 16 |
| 1128 | decision | 16 |
| 1129 | example | 16 |
| 1130 | quickly | 16 |
| 1131 | overbooked | 16 |
| 1132 | blame | 16 |
| 1133 | prompt | 16 |
| 1134 | frustration | 16 |
| 1135 | fill | 16 |
| 1136 | manager | 16 |
| 1137 | tampa | 16 |
| 1138 | disgusting | 16 |
| 1139 | act | 16 |
| 1140 | incompetent | 16 |
| 1141 | safely | 16 |
| 1142 | ruining | 16 |
| 1143 | sale | 16 |
| 1144 | type | 16 |
| 1145 | mad | 16 |
| 1146 | ended | 16 |
| 1147 | straight | 16 |
| 1148 | buffalo | 16 |
| 1149 | professional | 16 |
| 1150 | mint | 16 |
| 1151 | journal | 16 |
| 1152 | brand | 15 |
| 1153 | l | 15 |
| 1154 | sea | 15 |
| 1155 | floor | 15 |
| 1156 | shame | 15 |
| 1157 | dog | 15 |
| 1158 | advise | 15 |
| 1159 | silver | 15 |
| 1160 | cmh | 15 |
| 1161 | driving | 15 |
| 1162 | school | 15 |
| 1163 | picture | 15 |
| 1164 | become | 15 |
| 1165 | flier | 15 |
| 1166 | result | 15 |
| 1167 | advantage | 15 |
| 1168 | fight | 15 |
| 1169 | accept | 15 |
| 1170 | perfect | 15 |
| 1171 | economy | 15 |
| 1172 | 15 | |
| 1173 | client | 15 |
| 1174 | fund | 15 |
| 1175 | unprofessional | 15 |
| 1176 | courtesy | 15 |
| 1177 | incompetence | 15 |
| 1178 | carousel | 15 |
| 1179 | disaster | 15 |
| 1180 | loaded | 15 |
| 1181 | avoid | 15 |
| 1182 | simply | 15 |
| 1183 | redeem | 15 |
| 1184 | worker | 15 |
| 1185 | issued | 15 |
| 1186 | msg | 15 |
| 1187 | 15 | |
| 1188 | pleasant | 15 |
| 1189 | hit | 15 |
| 1190 | surprise | 15 |
| 1191 | pr | 15 |
| 1192 | honest | 15 |
| 1193 | cab | 15 |
| 1194 | possibly | 15 |
| 1195 | five | 15 |
| 1196 | perhaps | 15 |
| 1197 | feeling | 15 |
| 1198 | figured | 15 |
| 1199 | corporate | 15 |
| 1200 | mother | 15 |
| 1201 | traffic | 15 |
| 1202 | apply | 15 |
| 1203 | slc | 15 |
| 1204 | relate | 15 |
| 1205 | wedding | 15 |
| 1206 | pbi | 15 |
| 1207 | somewhere | 15 |
| 1208 | bringing | 15 |
| 1209 | rr | 15 |
| 1210 | flyfi | 15 |
| 1211 | wsj | 15 |
| 1212 | face | 14 |
| 1213 | nearly | 14 |
| 1214 | death | 14 |
| 1215 | thinking | 14 |
| 1216 | messed | 14 |
| 1217 | red | 14 |
| 1218 | sf | 14 |
| 1219 | thursday | 14 |
| 1220 | fuel | 14 |
| 1221 | beautiful | 14 |
| 1222 | logan | 14 |
| 1223 | begin | 14 |
| 1224 | april | 14 |
| 1225 | finding | 14 |
| 1226 | texas | 14 |
| 1227 | ipad | 14 |
| 1228 | palm | 14 |
| 1229 | wheel | 14 |
| 1230 | improve | 14 |
| 1231 | contacted | 14 |
| 1232 | profit | 14 |
| 1233 | promo | 14 |
| 1234 | au | 14 |
| 1235 | low | 14 |
| 1236 | announced | 14 |
| 1237 | paper | 14 |
| 1238 | thankyou | 14 |
| 1239 | raise | 14 |
| 1240 | dad | 14 |
| 1241 | advance | 14 |
| 1242 | prior | 14 |
| 1243 | tough | 14 |
| 1244 | pull | 14 |
| 1245 | mechanic | 14 |
| 1246 | pre | 14 |
| 1247 | military | 14 |
| 1248 | coat | 14 |
| 1249 | ontime | 14 |
| 1250 | certificate | 14 |
| 1251 | deserves | 14 |
| 1252 | stopped | 14 |
| 1253 | hundred | 14 |
| 1254 | dia | 14 |
| 1255 | showed | 14 |
| 1256 | contacting | 14 |
| 1257 | frm | 14 |
| 1258 | play | 14 |
| 1259 | killing | 14 |
| 1260 | assigned | 14 |
| 1261 | originally | 14 |
| 1262 | london | 14 |
| 1263 | yyz | 14 |
| 1264 | piece | 14 |
| 1265 | jetway | 14 |
| 1266 | double | 14 |
| 1267 | rsw | 14 |
| 1268 | officially | 14 |
| 1269 | surprised | 14 |
| 1270 | watched | 14 |
| 1271 | crappy | 14 |
| 1272 | quality | 14 |
| 1273 | pit | 14 |
| 1274 | providing | 14 |
| 1275 | heading | 14 |
| 1276 | near | 14 |
| 1277 | elite | 14 |
| 1278 | automatically | 14 |
| 1279 | juan | 14 |
| 1280 | handling | 14 |
| 1281 | wasting | 14 |
| 1282 | clean | 14 |
| 1283 | mark | 14 |
| 1284 | legroom | 14 |
| 1285 | allowing | 14 |
| 1286 | wheelchair | 14 |
| 1287 | nothappy | 14 |
| 1288 | specific | 14 |
| 1289 | informed | 14 |
| 1290 | apologize | 14 |
| 1291 | jblu | 14 |
| 1292 | vx | 13 |
| 1293 | opportunity | 13 |
| 1294 | side | 13 |
| 1295 | eye | 13 |
| 1296 | operation | 13 |
| 1297 | posted | 13 |
| 1298 | carrieunderwood | 13 |
| 1299 | song | 13 |
| 1300 | beat | 13 |
| 1301 | bet | 13 |
| 1302 | concerned | 13 |
| 1303 | outstanding | 13 |
| 1304 | precheck | 13 |
| 1305 | queue | 13 |
| 1306 | track | 13 |
| 1307 | afford | 13 |
| 1308 | sooner | 13 |
| 1309 | york | 13 |
| 1310 | comp | 13 |
| 1311 | returned | 13 |
| 1312 | spending | 13 |
| 1313 | easily | 13 |
| 1314 | crap | 13 |
| 1315 | sun | 13 |
| 1316 | alternate | 13 |
| 1317 | ya | 13 |
| 1318 | thnx | 13 |
| 1319 | minor | 13 |
| 1320 | simple | 13 |
| 1321 | cheaper | 13 |
| 1322 | seeing | 13 |
| 1323 | washington | 13 |
| 1324 | dead | 13 |
| 1325 | responded | 13 |
| 1326 | planning | 13 |
| 1327 | action | 13 |
| 1328 | comment | 13 |
| 1329 | absurd | 13 |
| 1330 | delaying | 13 |
| 1331 | pic | 13 |
| 1332 | directly | 13 |
| 1333 | otherwise | 13 |
| 1334 | earn | 13 |
| 1335 | location | 13 |
| 1336 | til | 13 |
| 1337 | management | 13 |
| 1338 | complain | 13 |
| 1339 | public | 13 |
| 1340 | holder | 13 |
| 1341 | speed | 13 |
| 1342 | global | 13 |
| 1343 | flightation | 13 |
| 1344 | ty | 13 |
| 1345 | cry | 13 |
| 1346 | ual | 13 |
| 1347 | write | 13 |
| 1348 | aware | 13 |
| 1349 | annoying | 13 |
| 1350 | frozen | 13 |
| 1351 | value | 13 |
| 1352 | respect | 13 |
| 1353 | realize | 13 |
| 1354 | shuttle | 13 |
| 1355 | obviously | 13 |
| 1356 | often | 13 |
| 1357 | sleeping | 13 |
| 1358 | reroute | 13 |
| 1359 | passed | 13 |
| 1360 | departs | 13 |
| 1361 | age | 13 |
| 1362 | six | 13 |
| 1363 | although | 13 |
| 1364 | push | 13 |
| 1365 | insane | 13 |
| 1366 | east | 13 |
| 1367 | winner | 13 |
| 1368 | promotion | 13 |
| 1369 | parent | 13 |
| 1370 | august | 13 |
| 1371 | fort | 13 |
| 1372 | mdw | 13 |
| 1373 | feature | 13 |
| 1374 | summer | 13 |
| 1375 | sju | 13 |
| 1376 | jb | 13 |
| 1377 | locator | 13 |
| 1378 | applied | 12 |
| 1379 | dream | 12 |
| 1380 | ladygaga | 12 |
| 1381 | marketing | 12 |
| 1382 | waive | 12 |
| 1383 | student | 12 |
| 1384 | biz | 12 |
| 1385 | recent | 12 |
| 1386 | dulles | 12 |
| 1387 | lame | 12 |
| 1388 | ran | 12 |
| 1389 | normal | 12 |
| 1390 | rescheduling | 12 |
| 1391 | paris | 12 |
| 1392 | ah | 12 |
| 1393 | benefit | 12 |
| 1394 | light | 12 |
| 1395 | position | 12 |
| 1396 | standard | 12 |
| 1397 | road | 12 |
| 1398 | sharing | 12 |
| 1399 | jan | 12 |
| 1400 | guitar | 12 |
| 1401 | unavailable | 12 |
| 1402 | sna | 12 |
| 1403 | airfare | 12 |
| 1404 | difficult | 12 |
| 1405 | properly | 12 |
| 1406 | transferred | 12 |
| 1407 | inbound | 12 |
| 1408 | returning | 12 |
| 1409 | local | 12 |
| 1410 | cancun | 12 |
| 1411 | pax | 12 |
| 1412 | yea | 12 |
| 1413 | considering | 12 |
| 1414 | flightations | 12 |
| 1415 | outlet | 12 |
| 1416 | easier | 12 |
| 1417 | looked | 12 |
| 1418 | device | 12 |
| 1419 | discus | 12 |
| 1420 | appears | 12 |
| 1421 | whose | 12 |
| 1422 | pt | 12 |
| 1423 | reimbursed | 12 |
| 1424 | chair | 12 |
| 1425 | unreal | 12 |
| 1426 | stand | 12 |
| 1427 | wet | 12 |
| 1428 | rerouted | 12 |
| 1429 | raleigh | 12 |
| 1430 | honeymoon | 12 |
| 1431 | certain | 12 |
| 1432 | epicfail | 12 |
| 1433 | house | 12 |
| 1434 | bdl | 12 |
| 1435 | buf | 12 |
| 1436 | hearing | 12 |
| 1437 | fraud | 12 |
| 1438 | higher | 12 |
| 1439 | felt | 12 |
| 1440 | connected | 12 |
| 1441 | knowing | 12 |
| 1442 | drunk | 12 |
| 1443 | log | 12 |
| 1444 | expecting | 12 |
| 1445 | faa | 12 |
| 1446 | bathroom | 12 |
| 1447 | deplane | 12 |
| 1448 | memphis | 12 |
| 1449 | star | 12 |
| 1450 | million | 12 |
| 1451 | weight | 12 |
| 1452 | guarantee | 12 |
| 1453 | peanut | 12 |
| 1454 | loyalty | 12 |
| 1455 | rest | 12 |
| 1456 | assignment | 12 |
| 1457 | interview | 12 |
| 1458 | cell | 12 |
| 1459 | usual | 12 |
| 1460 | rapid | 12 |
| 1461 | fall | 12 |
| 1462 | listed | 12 |
| 1463 | west | 12 |
| 1464 | located | 12 |
| 1465 | mke | 12 |
| 1466 | ft | 12 |
| 1467 | lauderdale | 12 |
| 1468 | heart | 12 |
| 1469 | gear | 12 |
| 1470 | contest | 12 |
| 1471 | fortunemagazine | 12 |
| 1472 | beach | 12 |
| 1473 | flyingitforward | 12 |
| 1474 | among | 11 |
| 1475 | large | 11 |
| 1476 | q | 11 |
| 1477 | tech | 11 |
| 1478 | reimburse | 11 |
| 1479 | somehow | 11 |
| 1480 | saving | 11 |
| 1481 | payment | 11 |
| 1482 | method | 11 |
| 1483 | model | 11 |
| 1484 | laptop | 11 |
| 1485 | black | 11 |
| 1486 | incredible | 11 |
| 1487 | bonus | 11 |
| 1488 | pair | 11 |
| 1489 | timely | 11 |
| 1490 | according | 11 |
| 1491 | inconvenient | 11 |
| 1492 | okc | 11 |
| 1493 | v | 11 |
| 1494 | nut | 11 |
| 1495 | fails | 11 |
| 1496 | limit | 11 |
| 1497 | coupon | 11 |
| 1498 | heathrow | 11 |
| 1499 | california | 11 |
| 1500 | lb | 11 |
| 1501 | disappointment | 11 |
| 1502 | finish | 11 |
| 1503 | exact | 11 |
| 1504 | reimbursement | 11 |
| 1505 | traveled | 11 |
| 1506 | kp | 11 |
| 1507 | stl | 11 |
| 1508 | jh | 11 |
| 1509 | certainly | 11 |
| 1510 | basically | 11 |
| 1511 | handler | 11 |
| 1512 | lesson | 11 |
| 1513 | ticketed | 11 |
| 1514 | shameful | 11 |
| 1515 | costumer | 11 |
| 1516 | understood | 11 |
| 1517 | cun | 11 |
| 1518 | poorly | 11 |
| 1519 | bf | 11 |
| 1520 | retrieve | 11 |
| 1521 | pvd | 11 |
| 1522 | pissed | 11 |
| 1523 | practice | 11 |
| 1524 | causing | 11 |
| 1525 | lied | 11 |
| 1526 | meant | 11 |
| 1527 | fam | 11 |
| 1528 | roundtrip | 11 |
| 1529 | yay | 11 |
| 1530 | ba | 11 |
| 1531 | msp | 11 |
| 1532 | somebody | 11 |
| 1533 | embarrassing | 11 |
| 1534 | ripoff | 11 |
| 1535 | prepared | 11 |
| 1536 | nasty | 11 |
| 1537 | stick | 11 |
| 1538 | drove | 11 |
| 1539 | alist | 11 |
| 1540 | cmon | 11 |
| 1541 | va | 10 |
| 1542 | australia | 10 |
| 1543 | elevate | 10 |
| 1544 | chat | 10 |
| 1545 | dirty | 10 |
| 1546 | worried | 10 |
| 1547 | g | 10 |
| 1548 | whenever | 10 |
| 1549 | meet | 10 |
| 1550 | uncomfortable | 10 |
| 1551 | field | 10 |
| 1552 | include | 10 |
| 1553 | sjc | 10 |
| 1554 | mon | 10 |
| 1555 | continues | 10 |
| 1556 | surgery | 10 |
| 1557 | virginatlantic | 10 |
| 1558 | positive | 10 |
| 1559 | brought | 10 |
| 1560 | manage | 10 |
| 1561 | earned | 10 |
| 1562 | lap | 10 |
| 1563 | incident | 10 |
| 1564 | tea | 10 |
| 1565 | portland | 10 |
| 1566 | io | 10 |
| 1567 | affected | 10 |
| 1568 | movie | 10 |
| 1569 | david | 10 |
| 1570 | outbound | 10 |
| 1571 | zone | 10 |
| 1572 | ski | 10 |
| 1573 | coast | 10 |
| 1574 | fb | 10 |
| 1575 | lhr | 10 |
| 1576 | canned | 10 |
| 1577 | hostage | 10 |
| 1578 | nah | 10 |
| 1579 | existing | 10 |
| 1580 | walk | 10 |
| 1581 | unless | 10 |
| 1582 | spot | 10 |
| 1583 | diverted | 10 |
| 1584 | announce | 10 |
| 1585 | wout | 10 |
| 1586 | unfriendlyskies | 10 |
| 1587 | ill | 10 |
| 1588 | poorservice | 10 |
| 1589 | attention | 10 |
| 1590 | miserable | 10 |
| 1591 | whatever | 10 |
| 1592 | including | 10 |
| 1593 | suggest | 10 |
| 1594 | departed | 10 |
| 1595 | police | 10 |
| 1596 | mci | 10 |
| 1597 | acct | 10 |
| 1598 | garbage | 10 |
| 1599 | kiosk | 10 |
| 1600 | wyou | 10 |
| 1601 | upcoming | 10 |
| 1602 | dinner | 10 |
| 1603 | honestly | 10 |
| 1604 | official | 10 |
| 1605 | false | 10 |
| 1606 | idiot | 10 |
| 1607 | listen | 10 |
| 1608 | unitedsucks | 10 |
| 1609 | notify | 10 |
| 1610 | explained | 10 |
| 1611 | personnel | 10 |
| 1612 | immediately | 10 |
| 1613 | nj | 10 |
| 1614 | shitty | 10 |
| 1615 | rent | 10 |
| 1616 | sadly | 10 |
| 1617 | merge | 10 |
| 1618 | flts | 10 |
| 1619 | shout | 10 |
| 1620 | procedure | 10 |
| 1621 | tpa | 10 |
| 1622 | aviation | 10 |
| 1623 | golf | 10 |
| 1624 | accurate | 10 |
| 1625 | father | 10 |
| 1626 | laguardia | 10 |
| 1627 | size | 10 |
| 1628 | confused | 10 |
| 1629 | puerto | 10 |
| 1630 | term | 10 |
| 1631 | pittsburgh | 10 |
| 1632 | estimated | 10 |
| 1633 | ashamed | 10 |
| 1634 | hunt | 10 |
| 1635 | est | 10 |
| 1636 | stroller | 10 |
| 1637 | tx | 10 |
| 1638 | compassion | 10 |
| 1639 | lucky | 10 |
| 1640 | sunny | 10 |
| 1641 | balance | 10 |
| 1642 | love_dragonss | 10 |
| 1643 | exec | 10 |
| 1644 | aadvantage | 10 |
| 1645 | fabulous | 9 |
| 1646 | stress | 9 |
| 1647 | anytime | 9 |
| 1648 | remove | 9 |
| 1649 | boy | 9 |
| 1650 | exp | 9 |
| 1651 | francisco | 9 |
| 1652 | complimentary | 9 |
| 1653 | central | 9 |
| 1654 | jump | 9 |
| 1655 | abq | 9 |
| 1656 | revenue | 9 |
| 1657 | flightly | 9 |
| 1658 | smooth | 9 |
| 1659 | gift | 9 |
| 1660 | towards | 9 |
| 1661 | channel | 9 |
| 1662 | forget | 9 |
| 1663 | forcing | 9 |
| 1664 | seated | 9 |
| 1665 | toward | 9 |
| 1666 | industry | 9 |
| 1667 | mr | 9 |
| 1668 | express | 9 |
| 1669 | shoe | 9 |
| 1670 | january | 9 |
| 1671 | manner | 9 |
| 1672 | medical | 9 |
| 1673 | elsewhere | 9 |
| 1674 | private | 9 |
| 1675 | doubt | 9 |
| 1676 | valid | 9 |
| 1677 | required | 9 |
| 1678 | walked | 9 |
| 1679 | split | 9 |
| 1680 | apple | 9 |
| 1681 | apart | 9 |
| 1682 | generic | 9 |
| 1683 | canada | 9 |
| 1684 | msy | 9 |
| 1685 | statement | 9 |
| 1686 | boyfriend | 9 |
| 1687 | signed | 9 |
| 1688 | repair | 9 |
| 1689 | damage | 9 |
| 1690 | cuz | 9 |
| 1691 | consistent | 9 |
| 1692 | general | 9 |
| 1693 | placed | 9 |
| 1694 | buying | 9 |
| 1695 | ton | 9 |
| 1696 | cleveland | 9 |
| 1697 | blog | 9 |
| 1698 | english | 9 |
| 1699 | accommodation | 9 |
| 1700 | ac | 9 |
| 1701 | reserve | 9 |
| 1702 | force | 9 |
| 1703 | beer | 9 |
| 1704 | reaching | 9 |
| 1705 | eta | 9 |
| 1706 | reagan | 9 |
| 1707 | breakfast | 9 |
| 1708 | lousy | 9 |
| 1709 | ktn | 9 |
| 1710 | switching | 9 |
| 1711 | ad | 9 |
| 1712 | dozen | 9 |
| 1713 | deice | 9 |
| 1714 | truck | 9 |
| 1715 | exception | 9 |
| 1716 | locate | 9 |
| 1717 | extended | 9 |
| 1718 | bummer | 9 |
| 1719 | volunteer | 9 |
| 1720 | sight | 9 |
| 1721 | toddler | 9 |
| 1722 | toilet | 9 |
| 1723 | cle | 9 |
| 1724 | disgusted | 9 |
| 1725 | conference | 9 |
| 1726 | alliance | 9 |
| 1727 | accepting | 9 |
| 1728 | wed | 9 |
| 1729 | alright | 9 |
| 1730 | perk | 9 |
| 1731 | operator | 9 |
| 1732 | badly | 9 |
| 1733 | young | 9 |
| 1734 | stated | 9 |
| 1735 | hook | 9 |
| 1736 | cnn | 9 |
| 1737 | advice | 9 |
| 1738 | ind | 9 |
| 1739 | biggest | 9 |
| 1740 | history | 9 |
| 1741 | decided | 9 |
| 1742 | cup | 9 |
| 1743 | living | 9 |
| 1744 | warning | 9 |
| 1745 | learned | 9 |
| 1746 | cont | 9 |
| 1747 | yup | 9 |
| 1748 | whether | 9 |
| 1749 | lower | 9 |
| 1750 | shortly | 9 |
| 1751 | flytpa | 9 |
| 1752 | separate | 9 |
| 1753 | initial | 9 |
| 1754 | icy | 9 |
| 1755 | midway | 9 |
| 1756 | voice | 9 |
| 1757 | ring | 9 |
| 1758 | band | 9 |
| 1759 | noticed | 9 |
| 1760 | plat | 9 |
| 1761 | waterbury | 9 |
| 1762 | republican | 9 |
| 1763 | serving | 9 |
| 1764 | cowboycerrone | 9 |
| 1765 | guest | 8 |
| 1766 | playing | 8 |
| 1767 | leading | 8 |
| 1768 | reserved | 8 |
| 1769 | expires | 8 |
| 1770 | agree | 8 |
| 1771 | shown | 8 |
| 1772 | interesting | 8 |
| 1773 | comfortable | 8 |
| 1774 | hiring | 8 |
| 1775 | button | 8 |
| 1776 | stink | 8 |
| 1777 | password | 8 |
| 1778 | sorted | 8 |
| 1779 | inspired | 8 |
| 1780 | grand | 8 |
| 1781 | race | 8 |
| 1782 | wind | 8 |
| 1783 | dtw | 8 |
| 1784 | paperwork | 8 |
| 1785 | recommend | 8 |
| 1786 | tweeted | 8 |
| 1787 | greeting | 8 |
| 1788 | eastern | 8 |
| 1789 | pulling | 8 |
| 1790 | rough | 8 |
| 1791 | luckily | 8 |
| 1792 | abc | 8 |
| 1793 | shocked | 8 |
| 1794 | penalty | 8 |
| 1795 | deicing | 8 |
| 1796 | common | 8 |
| 1797 | yous | 8 |
| 1798 | ignored | 8 |
| 1799 | throwing | 8 |
| 1800 | sincerely | 8 |
| 1801 | huh | 8 |
| 1802 | october | 8 |
| 1803 | appear | 8 |
| 1804 | stressful | 8 |
| 1805 | heat | 8 |
| 1806 | hence | 8 |
| 1807 | curious | 8 |
| 1808 | machine | 8 |
| 1809 | annoyed | 8 |
| 1810 | bullshit | 8 |
| 1811 | bunch | 8 |
| 1812 | period | 8 |
| 1813 | served | 8 |
| 1814 | notcool | 8 |
| 1815 | reminder | 8 |
| 1816 | reference | 8 |
| 1817 | membership | 8 |
| 1818 | karen | 8 |
| 1819 | correctly | 8 |
| 1820 | lufthansa | 8 |
| 1821 | replacement | 8 |
| 1822 | lit | 8 |
| 1823 | article | 8 |
| 1824 | strand | 8 |
| 1825 | hassle | 8 |
| 1826 | flightst | 8 |
| 1827 | reasonable | 8 |
| 1828 | consistently | 8 |
| 1829 | segment | 8 |
| 1830 | transaction | 8 |
| 1831 | epic | 8 |
| 1832 | operated | 8 |
| 1833 | tues | 8 |
| 1834 | csr | 8 |
| 1835 | managed | 8 |
| 1836 | metal | 8 |
| 1837 | worstairlineever | 8 |
| 1838 | dumb | 8 |
| 1839 | memory | 8 |
| 1840 | bay | 8 |
| 1841 | availability | 8 |
| 1842 | cleaned | 8 |
| 1843 | strike | 8 |
| 1844 | slept | 8 |
| 1845 | suit | 8 |
| 1846 | staralliance | 8 |
| 1847 | click | 8 |
| 1848 | passport | 8 |
| 1849 | communicate | 8 |
| 1850 | ahold | 8 |
| 1851 | unitedfail | 8 |
| 1852 | conversation | 8 |
| 1853 | cxl | 8 |
| 1854 | ff | 8 |
| 1855 | inch | 8 |
| 1856 | airbus | 8 |
| 1857 | jax | 8 |
| 1858 | freaking | 8 |
| 1859 | smile | 8 |
| 1860 | pushed | 8 |
| 1861 | technical | 8 |
| 1862 | horrendous | 8 |
| 1863 | disgrace | 8 |
| 1864 | john | 8 |
| 1865 | furious | 8 |
| 1866 | cart | 8 |
| 1867 | saved | 8 |
| 1868 | waiver | 8 |
| 1869 | thousand | 8 |
| 1870 | wth | 8 |
| 1871 | gg | 8 |
| 1872 | tablet | 8 |
| 1873 | anniversary | 8 |
| 1874 | seek | 8 |
| 1875 | rico | 8 |
| 1876 | crash | 8 |
| 1877 | camera | 8 |
| 1878 | reported | 8 |
| 1879 | accepted | 8 |
| 1880 | replying | 8 |
| 1881 | yelled | 8 |
| 1882 | nexus | 8 |
| 1883 | jacksonville | 8 |
| 1884 | de | 8 |
| 1885 | spiritairlines | 8 |
| 1886 | scavenger | 8 |
| 1887 | opening | 8 |
| 1888 | spoken | 8 |
| 1889 | stupid | 8 |
| 1890 | cash | 8 |
| 1891 | velourlive | 8 |
| 1892 | selfie | 8 |
| 1893 | lauren | 8 |
| 1894 | snowing | 8 |
| 1895 | transportation | 8 |
| 1896 | njb | 8 |
| 1897 | glass | 8 |
| 1898 | hpn | 8 |
| 1899 | bluemanity | 8 |
| 1900 | livery | 8 |
| 1901 | bottle | 8 |
| 1902 | teen | 7 |
| 1903 | prefer | 7 |
| 1904 | unused | 7 |
| 1905 | table | 7 |
| 1906 | bill | 7 |
| 1907 | film | 7 |
| 1908 | sarcasm | 7 |
| 1909 | plain | 7 |
| 1910 | kicked | 7 |
| 1911 | design | 7 |
| 1912 | failing | 7 |
| 1913 | buck | 7 |
| 1914 | driver | 7 |
| 1915 | wine | 7 |
| 1916 | white | 7 |
| 1917 | ability | 7 |
| 1918 | putting | 7 |
| 1919 | bug | 7 |
| 1920 | reset | 7 |
| 1921 | ca | 7 |
| 1922 | purpose | 7 |
| 1923 | pillow | 7 |
| 1924 | salt | 7 |
| 1925 | regulation | 7 |
| 1926 | barely | 7 |
| 1927 | turbulence | 7 |
| 1928 | nytimes | 7 |
| 1929 | visa | 7 |
| 1930 | badge | 7 |
| 1931 | grandma | 7 |
| 1932 | europe | 7 |
| 1933 | dear | 7 |
| 1934 | serv | 7 |
| 1935 | prevent | 7 |
| 1936 | law | 7 |
| 1937 | cousin | 7 |
| 1938 | beginning | 7 |
| 1939 | existent | 7 |
| 1940 | upon | 7 |
| 1941 | gf | 7 |
| 1942 | disappeared | 7 |
| 1943 | continued | 7 |
| 1944 | quite | 7 |
| 1945 | enjoyed | 7 |
| 1946 | cause | 7 |
| 1947 | december | 7 |
| 1948 | whoever | 7 |
| 1949 | louis | 7 |
| 1950 | atrocious | 7 |
| 1951 | responsibility | 7 |
| 1952 | blaming | 7 |
| 1953 | deep | 7 |
| 1954 | ripped | 7 |
| 1955 | 7 | |
| 1956 | jp | 7 |
| 1957 | bar | 7 |
| 1958 | impact | 7 |
| 1959 | assume | 7 |
| 1960 | requesting | 7 |
| 1961 | confusion | 7 |
| 1962 | included | 7 |
| 1963 | yvr | 7 |
| 1964 | male | 7 |
| 1965 | canadian | 7 |
| 1966 | gross | 7 |
| 1967 | wallet | 7 |
| 1968 | opened | 7 |
| 1969 | abt | 7 |
| 1970 | hubby | 7 |
| 1971 | forth | 7 |
| 1972 | glitch | 7 |
| 1973 | unfriendly | 7 |
| 1974 | aspen | 7 |
| 1975 | gain | 7 |
| 1976 | deserve | 7 |
| 1977 | terribly | 7 |
| 1978 | shopping | 7 |
| 1979 | loving | 7 |
| 1980 | released | 7 |
| 1981 | extend | 7 |
| 1982 | aircanada | 7 |
| 1983 | shut | 7 |
| 1984 | worstcustomerservice | 7 |
| 1985 | limited | 7 |
| 1986 | copy | 7 |
| 1987 | cx | 7 |
| 1988 | picking | 7 |
| 1989 | prob | 7 |
| 1990 | desperately | 7 |
| 1991 | girlfriend | 7 |
| 1992 | mech | 7 |
| 1993 | hurt | 7 |
| 1994 | solve | 7 |
| 1995 | content | 7 |
| 1996 | relationship | 7 |
| 1997 | named | 7 |
| 1998 | exceptional | 7 |
| 1999 | pushing | 7 |
| 2000 | deplaned | 7 |
| 2001 | pending | 7 |
| 2002 | chi | 7 |
| 2003 | tire | 7 |
| 2004 | reading | 7 |
| 2005 | attend | 7 |
| 2006 | inexcusable | 7 |
| 2007 | belonging | 7 |
| 2008 | loses | 7 |
| 2009 | ramp | 7 |
| 2010 | treating | 7 |
| 2011 | designed | 7 |
| 2012 | serve | 7 |
| 2013 | cutting | 7 |
| 2014 | created | 7 |
| 2015 | weird | 7 |
| 2016 | define | 7 |
| 2017 | decent | 7 |
| 2018 | fire | 7 |
| 2019 | disregard | 7 |
| 2020 | pen | 7 |
| 2021 | commitment | 7 |
| 2022 | disappoint | 7 |
| 2023 | plastic | 7 |
| 2024 | roc | 7 |
| 2025 | useful | 7 |
| 2026 | operating | 7 |
| 2027 | tkt | 7 |
| 2028 | expedia | 7 |
| 2029 | teach | 7 |
| 2030 | extension | 7 |
| 2031 | sigh | 7 |
| 2032 | basic | 7 |
| 2033 | responsible | 7 |
| 2034 | painful | 7 |
| 2035 | approach | 7 |
| 2036 | june | 7 |
| 2037 | turning | 7 |
| 2038 | lifetime | 7 |
| 2039 | misplaced | 7 |
| 2040 | hungry | 7 |
| 2041 | firstclass | 7 |
| 2042 | alternative | 7 |
| 2043 | exchange | 7 |
| 2044 | dying | 7 |
| 2045 | courteous | 7 |
| 2046 | die | 7 |
| 2047 | compensated | 7 |
| 2048 | join | 7 |
| 2049 | directed | 7 |
| 2050 | pet | 7 |
| 2051 | ignoring | 7 |
| 2052 | review | 7 |
| 2053 | wrote | 7 |
| 2054 | suggested | 7 |
| 2055 | harder | 7 |
| 2056 | van | 7 |
| 2057 | fresh | 7 |
| 2058 | realized | 7 |
| 2059 | ric | 7 |
| 2060 | headache | 7 |
| 2061 | neither | 7 |
| 2062 | understandable | 7 |
| 2063 | indeed | 7 |
| 2064 | success | 7 |
| 2065 | pricing | 7 |
| 2066 | hub | 7 |
| 2067 | birmingham | 7 |
| 2068 | brutal | 7 |
| 2069 | charleston | 7 |
| 2070 | throughout | 7 |
| 2071 | partnership | 7 |
| 2072 | noon | 7 |
| 2073 | aug | 7 |
| 2074 | interest | 7 |
| 2075 | arrangement | 7 |
| 2076 | md | 7 |
| 2077 | loss | 7 |
| 2078 | baltimore | 7 |
| 2079 | resched | 7 |
| 2080 | receiving | 7 |
| 2081 | corporation | 7 |
| 2082 | aww | 7 |
| 2083 | college | 7 |
| 2084 | lead | 7 |
| 2085 | chaos | 7 |
| 2086 | disney | 7 |
| 2087 | dealt | 7 |
| 2088 | regular | 7 |
| 2089 | agency | 7 |
| 2090 | nantucket | 7 |
| 2091 | mosaic | 7 |
| 2092 | decide | 7 |
| 2093 | shoutout | 7 |
| 2094 | ctl | 7 |
| 2095 | merged | 7 |
| 2096 | key | 7 |
| 2097 | usairwayssucks | 7 |
| 2098 | suicide | 6 |
| 2099 | fully | 6 |
| 2100 | headphone | 6 |
| 2101 | awaiting | 6 |
| 2102 | impressive | 6 |
| 2103 | stat | 6 |
| 2104 | interested | 6 |
| 2105 | unexpected | 6 |
| 2106 | getaway | 6 |
| 2107 | oneway | 6 |
| 2108 | browser | 6 |
| 2109 | cabo | 6 |
| 2110 | register | 6 |
| 2111 | redcarpet | 6 |
| 2112 | license | 6 |
| 2113 | dulles_airport | 6 |
| 2114 | nervous | 6 |
| 2115 | wing | 6 |
| 2116 | pro | 6 |
| 2117 | sec | 6 |
| 2118 | nicely | 6 |
| 2119 | fav | 6 |
| 2120 | atlantic | 6 |
| 2121 | application | 6 |
| 2122 | understanding | 6 |
| 2123 | performance | 6 |
| 2124 | facing | 6 |
| 2125 | gma | 6 |
| 2126 | jacket | 6 |
| 2127 | superior | 6 |
| 2128 | constant | 6 |
| 2129 | fat | 6 |
| 2130 | brilliant | 6 |
| 2131 | needing | 6 |
| 2132 | spread | 6 |
| 2133 | malfunction | 6 |
| 2134 | jose | 6 |
| 2135 | accident | 6 |
| 2136 | executive | 6 |
| 2137 | weak | 6 |
| 2138 | thankfully | 6 |
| 2139 | expense | 6 |
| 2140 | besides | 6 |
| 2141 | search | 6 |
| 2142 | carrying | 6 |
| 2143 | improvement | 6 |
| 2144 | unfortunate | 6 |
| 2145 | buddy | 6 |
| 2146 | guide | 6 |
| 2147 | crashed | 6 |
| 2148 | scam | 6 |
| 2149 | ey | 6 |
| 2150 | ref | 6 |
| 2151 | grounded | 6 |
| 2152 | operational | 6 |
| 2153 | esp | 6 |
| 2154 | compliment | 6 |
| 2155 | writing | 6 |
| 2156 | tel | 6 |
| 2157 | hou | 6 |
| 2158 | flyohare | 6 |
| 2159 | stellar | 6 |
| 2160 | happily | 6 |
| 2161 | stranger | 6 |
| 2162 | highly | 6 |
| 2163 | claimed | 6 |
| 2164 | monitor | 6 |
| 2165 | spare | 6 |
| 2166 | j | 6 |
| 2167 | software | 6 |
| 2168 | unnecessary | 6 |
| 2169 | flat | 6 |
| 2170 | chicken | 6 |
| 2171 | proper | 6 |
| 2172 | stood | 6 |
| 2173 | prove | 6 |
| 2174 | fucked | 6 |
| 2175 | typical | 6 |
| 2176 | driven | 6 |
| 2177 | pleased | 6 |
| 2178 | choosing | 6 |
| 2179 | overweight | 6 |
| 2180 | dming | 6 |
| 2181 | loading | 6 |
| 2182 | mex | 6 |
| 2183 | ten | 6 |
| 2184 | hm | 6 |
| 2185 | bridge | 6 |
| 2186 | written | 6 |
| 2187 | fixing | 6 |
| 2188 | worthless | 6 |
| 2189 | ber | 6 |
| 2190 | replacing | 6 |
| 2191 | frankfurt | 6 |
| 2192 | irritated | 6 |
| 2193 | humor | 6 |
| 2194 | grr | 6 |
| 2195 | hilarious | 6 |
| 2196 | 6 | |
| 2197 | tiny | 6 |
| 2198 | tone | 6 |
| 2199 | lazy | 6 |
| 2200 | valuable | 6 |
| 2201 | parked | 6 |
| 2202 | contract | 6 |
| 2203 | travelling | 6 |
| 2204 | relative | 6 |
| 2205 | organization | 6 |
| 2206 | tail | 6 |
| 2207 | capt | 6 |
| 2208 | bhm | 6 |
| 2209 | accountability | 6 |
| 2210 | aisle | 6 |
| 2211 | planet | 6 |
| 2212 | concourse | 6 |
| 2213 | trapped | 6 |
| 2214 | updating | 6 |
| 2215 | everytime | 6 |
| 2216 | sometime | 6 |
| 2217 | continuing | 6 |
| 2218 | uh | 6 |
| 2219 | journey | 6 |
| 2220 | cvg | 6 |
| 2221 | pulled | 6 |
| 2222 | albany | 6 |
| 2223 | detroit | 6 |
| 2224 | bush | 6 |
| 2225 | routing | 6 |
| 2226 | addressed | 6 |
| 2227 | abysmal | 6 |
| 2228 | submit | 6 |
| 2229 | download | 6 |
| 2230 | hnl | 6 |
| 2231 | extreme | 6 |
| 2232 | similar | 6 |
| 2233 | directtv | 6 |
| 2234 | closer | 6 |
| 2235 | backup | 6 |
| 2236 | formal | 6 |
| 2237 | fra | 6 |
| 2238 | map | 6 |
| 2239 | north | 6 |
| 2240 | overall | 6 |
| 2241 | recently | 6 |
| 2242 | document | 6 |
| 2243 | incentive | 6 |
| 2244 | charity | 6 |
| 2245 | pound | 6 |
| 2246 | bump | 6 |
| 2247 | tight | 6 |
| 2248 | belt | 6 |
| 2249 | transport | 6 |
| 2250 | recording | 6 |
| 2251 | lying | 6 |
| 2252 | menu | 6 |
| 2253 | expire | 6 |
| 2254 | costing | 6 |
| 2255 | maint | 6 |
| 2256 | progress | 6 |
| 2257 | estimate | 6 |
| 2258 | gas | 6 |
| 2259 | heavy | 6 |
| 2260 | survey | 6 |
| 2261 | alot | 6 |
| 2262 | selection | 6 |
| 2263 | forgetting | 6 |
| 2264 | jt | 6 |
| 2265 | custom | 6 |
| 2266 | scale | 6 |
| 2267 | blah | 6 |
| 2268 | en | 6 |
| 2269 | hartford | 6 |
| 2270 | package | 6 |
| 2271 | lmao | 6 |
| 2272 | earth | 6 |
| 2273 | fortunately | 6 |
| 2274 | technically | 6 |
| 2275 | gogo | 6 |
| 2276 | thankful | 6 |
| 2277 | dropping | 6 |
| 2278 | data | 6 |
| 2279 | southwestairlines | 6 |
| 2280 | fell | 6 |
| 2281 | unreliable | 6 |
| 2282 | bae | 6 |
| 2283 | insult | 6 |
| 2284 | injury | 6 |
| 2285 | terry | 6 |
| 2286 | oakland | 6 |
| 2287 | bostonlogan | 6 |
| 2288 | enroute | 6 |
| 2289 | fired | 6 |
| 2290 | mem | 6 |
| 2291 | credited | 6 |
| 2292 | telephone | 6 |
| 2293 | cali | 6 |
| 2294 | battery | 6 |
| 2295 | heck | 6 |
| 2296 | colleague | 6 |
| 2297 | kelly | 6 |
| 2298 | triflight | 6 |
| 2299 | accommodating | 6 |
| 2300 | nearby | 6 |
| 2301 | savannah | 6 |
| 2302 | costa | 6 |
| 2303 | rica | 6 |
| 2304 | evaluate | 6 |
| 2305 | caller | 6 |
| 2306 | national | 6 |
| 2307 | stole | 6 |
| 2308 | cuba | 6 |
| 2309 | goodwill | 6 |
| 2310 | dissatisfied | 6 |
| 2311 | sxm | 6 |
| 2312 | asleep | 6 |
| 2313 | digital | 6 |
| 2314 | significant | 6 |
| 2315 | cot | 6 |
| 2316 | onhold | 6 |
| 2317 | filmcrew | 6 |
| 2318 | understaffing | 6 |
| 2319 | recourse | 5 |
| 2320 | hat | 5 |
| 2321 | touchdown | 5 |
| 2322 | andrew | 5 |
| 2323 | winning | 5 |
| 2324 | shared | 5 |
| 2325 | random | 5 |
| 2326 | user | 5 |
| 2327 | desktop | 5 |
| 2328 | version | 5 |
| 2329 | secure | 5 |
| 2330 | cake | 5 |
| 2331 | andor | 5 |
| 2332 | market | 5 |
| 2333 | dancing | 5 |
| 2334 | crisis | 5 |
| 2335 | scared | 5 |
| 2336 | assaulted | 5 |
| 2337 | boo | 5 |
| 2338 | selected | 5 |
| 2339 | forecast | 5 |
| 2340 | flylaxairport | 5 |
| 2341 | section | 5 |
| 2342 | inappropriate | 5 |
| 2343 | challenge | 5 |
| 2344 | ella | 5 |
| 2345 | deserved | 5 |
| 2346 | requirement | 5 |
| 2347 | dallaslovefield | 5 |
| 2348 | sucked | 5 |
| 2349 | classy | 5 |
| 2350 | strong | 5 |
| 2351 | bumping | 5 |
| 2352 | haul | 5 |
| 2353 | umm | 5 |
| 2354 | popular | 5 |
| 2355 | hooked | 5 |
| 2356 | chase | 5 |
| 2357 | september | 5 |
| 2358 | int | 5 |
| 2359 | illegal | 5 |
| 2360 | removal | 5 |
| 2361 | cessna | 5 |
| 2362 | kc | 5 |
| 2363 | requires | 5 |
| 2364 | preboard | 5 |
| 2365 | bothered | 5 |
| 2366 | bogota | 5 |
| 2367 | negotiate | 5 |
| 2368 | scheduling | 5 |
| 2369 | shocking | 5 |
| 2370 | disrespect | 5 |
| 2371 | july | 5 |
| 2372 | faith | 5 |
| 2373 | tourist | 5 |
| 2374 | century | 5 |
| 2375 | property | 5 |
| 2376 | bot | 5 |
| 2377 | horrid | 5 |
| 2378 | china | 5 |
| 2379 | aviv | 5 |
| 2380 | continental | 5 |
| 2381 | fran | 5 |
| 2382 | po | 5 |
| 2383 | constantly | 5 |
| 2384 | wks | 5 |
| 2385 | appropriate | 5 |
| 2386 | corp | 5 |
| 2387 | falling | 5 |
| 2388 | rectify | 5 |
| 2389 | scan | 5 |
| 2390 | finest | 5 |
| 2391 | project | 5 |
| 2392 | ogg | 5 |
| 2393 | closest | 5 |
| 2394 | pacific | 5 |
| 2395 | carseat | 5 |
| 2396 | kit | 5 |
| 2397 | ensure | 5 |
| 2398 | reserv | 5 |
| 2399 | connector | 5 |
| 2400 | inadequate | 5 |
| 2401 | stolen | 5 |
| 2402 | nonsense | 5 |
| 2403 | claiming | 5 |
| 2404 | poorcustomerservice | 5 |
| 2405 | lake | 5 |
| 2406 | truth | 5 |
| 2407 | orf | 5 |
| 2408 | musician | 5 |
| 2409 | premiere | 5 |
| 2410 | cute | 5 |
| 2411 | kindness | 5 |
| 2412 | beauty | 5 |
| 2413 | outsource | 5 |
| 2414 | temp | 5 |
| 2415 | advertise | 5 |
| 2416 | confirming | 5 |
| 2417 | understaffed | 5 |
| 2418 | oops | 5 |
| 2419 | dry | 5 |
| 2420 | assign | 5 |
| 2421 | btv | 5 |
| 2422 | solved | 5 |
| 2423 | lisa | 5 |
| 2424 | dr | 5 |
| 2425 | wearing | 5 |
| 2426 | freq | 5 |
| 2427 | dot | 5 |
| 2428 | pleasure | 5 |
| 2429 | explorer | 5 |
| 2430 | wake | 5 |
| 2431 | snowy | 5 |
| 2432 | catching | 5 |
| 2433 | disgraceful | 5 |
| 2434 | reconsider | 5 |
| 2435 | ph | 5 |
| 2436 | pat | 5 |
| 2437 | pretzel | 5 |
| 2438 | legal | 5 |
| 2439 | advertising | 5 |
| 2440 | mi | 5 |
| 2441 | spanish | 5 |
| 2442 | sincere | 5 |
| 2443 | attempting | 5 |
| 2444 | circumstance | 5 |
| 2445 | reliable | 5 |
| 2446 | flightaware | 5 |
| 2447 | efficiency | 5 |
| 2448 | worstairline | 5 |
| 2449 | philippine | 5 |
| 2450 | co | 5 |
| 2451 | hdn | 5 |
| 2452 | numerous | 5 |
| 2453 | green | 5 |
| 2454 | present | 5 |
| 2455 | breaking | 5 |
| 2456 | stt | 5 |
| 2457 | competitor | 5 |
| 2458 | proof | 5 |
| 2459 | crashing | 5 |
| 2460 | cluster | 5 |
| 2461 | bereavement | 5 |
| 2462 | tick | 5 |
| 2463 | appalled | 5 |
| 2464 | self | 5 |
| 2465 | notch | 5 |
| 2466 | logged | 5 |
| 2467 | occurred | 5 |
| 2468 | screwing | 5 |
| 2469 | shoulder | 5 |
| 2470 | enjoying | 5 |
| 2471 | particularly | 5 |
| 2472 | pricey | 5 |
| 2473 | trained | 5 |
| 2474 | sits | 5 |
| 2475 | nh | 5 |
| 2476 | unknown | 5 |
| 2477 | operate | 5 |
| 2478 | cranky | 5 |
| 2479 | nt | 5 |
| 2480 | hardly | 5 |
| 2481 | fiasco | 5 |
| 2482 | nature | 5 |
| 2483 | proud | 5 |
| 2484 | chose | 5 |
| 2485 | pain | 5 |
| 2486 | belize | 5 |
| 2487 | congratulation | 5 |
| 2488 | blamed | 5 |
| 2489 | reminded | 5 |
| 2490 | remains | 5 |
| 2491 | orleans | 5 |
| 2492 | messing | 5 |
| 2493 | skill | 5 |
| 2494 | login | 5 |
| 2495 | bahamas | 5 |
| 2496 | officer | 5 |
| 2497 | consideration | 5 |
| 2498 | walking | 5 |
| 2499 | bankrupt | 5 |
| 2500 | 5 | |
| 2501 | folder | 5 |
| 2502 | darn | 5 |
| 2503 | clarification | 5 |
| 2504 | embarrassed | 5 |
| 2505 | repeat | 5 |
| 2506 | lavatory | 5 |
| 2507 | necessary | 5 |
| 2508 | box | 5 |
| 2509 | massive | 5 |
| 2510 | annual | 5 |
| 2511 | dest | 5 |
| 2512 | cleared | 5 |
| 2513 | sept | 5 |
| 2514 | magic | 5 |
| 2515 | selling | 5 |
| 2516 | downgrade | 5 |
| 2517 | customerservicefail | 5 |
| 2518 | incoming | 5 |
| 2519 | annricord | 5 |
| 2520 | smiling | 5 |
| 2521 | admit | 5 |
| 2522 | dobetter | 5 |
| 2523 | custserv | 5 |
| 2524 | owe | 5 |
| 2525 | messaged | 5 |
| 2526 | tab | 5 |
| 2527 | gj | 5 |
| 2528 | follows | 5 |
| 2529 | mission | 5 |
| 2530 | subpar | 5 |
| 2531 | pref | 5 |
| 2532 | nonexistent | 5 |
| 2533 | packed | 5 |
| 2534 | tear | 5 |
| 2535 | provider | 5 |
| 2536 | odd | 5 |
| 2537 | omaha | 5 |
| 2538 | cracker | 5 |
| 2539 | died | 5 |
| 2540 | feed | 5 |
| 2541 | dang | 5 |
| 2542 | magazine | 5 |
| 2543 | greatservice | 5 |
| 2544 | rno | 5 |
| 2545 | staying | 5 |
| 2546 | xx | 5 |
| 2547 | speedy | 5 |
| 2548 | dime | 5 |
| 2549 | hitting | 5 |
| 2550 | wanting | 5 |
| 2551 | ivr | 5 |
| 2552 | birth | 5 |
| 2553 | nonprofit | 5 |
| 2554 | spirit | 5 |
| 2555 | parking | 5 |
| 2556 | personally | 5 |
| 2557 | hero | 5 |
| 2558 | grateful | 5 |
| 2559 | hopeful | 5 |
| 2560 | station | 5 |
| 2561 | antonio | 5 |
| 2562 | ohio | 5 |
| 2563 | heavily | 5 |
| 2564 | athlete | 5 |
| 2565 | aka | 5 |
| 2566 | color | 5 |
| 2567 | jamaica | 5 |
| 2568 | harbor | 5 |
| 2569 | conflicting | 5 |
| 2570 | impression | 5 |
| 2571 | greenville | 5 |
| 2572 | indy | 5 |
| 2573 | november | 5 |
| 2574 | northeast | 5 |
| 2575 | loose | 5 |
| 2576 | hv | 5 |
| 2577 | ticketing | 5 |
| 2578 | louisville | 5 |
| 2579 | gr | 5 |
| 2580 | lunch | 5 |
| 2581 | anxious | 5 |
| 2582 | gary | 5 |
| 2583 | printed | 5 |
| 2584 | utah | 5 |
| 2585 | paypal | 5 |
| 2586 | oak | 5 |
| 2587 | pwm | 5 |
| 2588 | park | 5 |
| 2589 | anticipate | 5 |
| 2590 | na | 5 |
| 2591 | unlike | 5 |
| 2592 | fastest | 5 |
| 2593 | involved | 5 |
| 2594 | vieques | 5 |
| 2595 | barbados | 5 |
| 2596 | getittogether | 5 |
| 2597 | brandmance | 5 |
| 2598 | inform | 5 |
| 2599 | circle | 5 |
| 2600 | kill | 5 |
| 2601 | haiti | 5 |
| 2602 | flyitforward | 5 |
| 2603 | diversion | 5 |
| 2604 | awe | 5 |
| 2605 | alaska | 5 |
| 2606 | meaning | 5 |
| 2607 | jvmchat | 5 |
| 2608 | sympathy | 5 |
| 2609 | flydelta | 5 |
| 2610 | merging | 5 |
| 2611 | med | 5 |
| 2612 | ho | 5 |
| 2613 | vile | 5 |
| 2614 | logistics | 5 |
| 2615 | neptune | 5 |
| 2616 | assult | 5 |
| 2617 | ep | 5 |
| 2618 | americanview | 5 |
| 2619 | prime | 4 |
| 2620 | innovation | 4 |
| 2621 | entered | 4 |
| 2622 | rain | 4 |
| 2623 | mary | 4 |
| 2624 | redirected | 4 |
| 2625 | appointment | 4 |
| 2626 | cheapflights | 4 |
| 2627 | farecompare | 4 |
| 2628 | comfort | 4 |
| 2629 | globe | 4 |
| 2630 | destroyed | 4 |
| 2631 | investor | 4 |
| 2632 | psp | 4 |
| 2633 | pressure | 4 |
| 2634 | safari | 4 |
| 2635 | clicking | 4 |
| 2636 | hahaha | 4 |
| 2637 | blasting | 4 |
| 2638 | severely | 4 |
| 2639 | shift | 4 |
| 2640 | expectation | 4 |
| 2641 | santa | 4 |
| 2642 | exhausted | 4 |
| 2643 | refunding | 4 |
| 2644 | financial | 4 |
| 2645 | ordered | 4 |
| 2646 | consecutive | 4 |
| 2647 | increased | 4 |
| 2648 | competition | 4 |
| 2649 | ct | 4 |
| 2650 | temperature | 4 |
| 2651 | chrome | 4 |
| 2652 | asset | 4 |
| 2653 | tonite | 4 |
| 2654 | bound | 4 |
| 2655 | mentioned | 4 |
| 2656 | checkout | 4 |
| 2657 | bruh | 4 |
| 2658 | mood | 4 |
| 2659 | embossed | 4 |
| 2660 | patch | 4 |
| 2661 | cue | 4 |
| 2662 | _ | 4 |
| 2663 | exist | 4 |
| 2664 | develop | 4 |
| 2665 | giant | 4 |
| 2666 | consumer | 4 |
| 2667 | thurs | 4 |
| 2668 | cheese | 4 |
| 2669 | richard | 4 |
| 2670 | plate | 4 |
| 2671 | network | 4 |
| 2672 | recieved | 4 |
| 2673 | town | 4 |
| 2674 | hop | 4 |
| 2675 | risk | 4 |
| 2676 | ase | 4 |
| 2677 | emailing | 4 |
| 2678 | debacle | 4 |
| 2679 | caring | 4 |
| 2680 | trusted | 4 |
| 2681 | silverairways | 4 |
| 2682 | married | 4 |
| 2683 | touched | 4 |
| 2684 | flex | 4 |
| 2685 | addition | 4 |
| 2686 | active | 4 |
| 2687 | brain | 4 |
| 2688 | handed | 4 |
| 2689 | coincidence | 4 |
| 2690 | apps | 4 |
| 2691 | silly | 4 |
| 2692 | negligence | 4 |
| 2693 | continually | 4 |
| 2694 | tide | 4 |
| 2695 | severe | 4 |
| 2696 | confident | 4 |
| 2697 | lostluggage | 4 |
| 2698 | various | 4 |
| 2699 | assured | 4 |
| 2700 | holiday | 4 |
| 2701 | strange | 4 |
| 2702 | kn | 4 |
| 2703 | equal | 4 |
| 2704 | regret | 4 |
| 2705 | manchester | 4 |
| 2706 | encountered | 4 |
| 2707 | delhi | 4 |
| 2708 | thin | 4 |
| 2709 | stressed | 4 |
| 2710 | overbook | 4 |
| 2711 | adopting | 4 |
| 2712 | ftw | 4 |
| 2713 | sched | 4 |
| 2714 | manually | 4 |
| 2715 | friendlyskies | 4 |
| 2716 | beverage | 4 |
| 2717 | bed | 4 |
| 2718 | sandwich | 4 |
| 2719 | quiet | 4 |
| 2720 | norm | 4 |
| 2721 | terrific | 4 |
| 2722 | madrid | 4 |
| 2723 | clothing | 4 |
| 2724 | randomly | 4 |
| 2725 | kindle | 4 |
| 2726 | caught | 4 |
| 2727 | attached | 4 |
| 2728 | yelling | 4 |
| 2729 | tool | 4 |
| 2730 | saver | 4 |
| 2731 | shall | 4 |
| 2732 | incur | 4 |
| 2733 | assuming | 4 |
| 2734 | pqd | 4 |
| 2735 | resume | 4 |
| 2736 | rarely | 4 |
| 2737 | etihad | 4 |
| 2738 | theworst | 4 |
| 2739 | enquires | 4 |
| 2740 | understatement | 4 |
| 2741 | tom | 4 |
| 2742 | robin | 4 |
| 2743 | hosting | 4 |
| 2744 | partial | 4 |
| 2745 | nrt | 4 |
| 2746 | practical | 4 |
| 2747 | cushion | 4 |
| 2748 | retrain | 4 |
| 2749 | confusing | 4 |
| 2750 | scott | 4 |
| 2751 | cleaning | 4 |
| 2752 | searching | 4 |
| 2753 | nite | 4 |
| 2754 | zurich | 4 |
| 2755 | hanger | 4 |
| 2756 | sdf | 4 |
| 2757 | robotic | 4 |
| 2758 | deck | 4 |
| 2759 | servicefail | 4 |
| 2760 | deltaassist | 4 |
| 2761 | acknowledge | 4 |
| 2762 | efficient | 4 |
| 2763 | definition | 4 |
| 2764 | attempted | 4 |
| 2765 | snowstorm | 4 |
| 2766 | jacked | 4 |
| 2767 | restore | 4 |
| 2768 | lowered | 4 |
| 2769 | intentionally | 4 |
| 2770 | regard | 4 |
| 2771 | singapore | 4 |
| 2772 | toronto | 4 |
| 2773 | strategy | 4 |
| 2774 | oma | 4 |
| 2775 | bagage | 4 |
| 2776 | describe | 4 |
| 2777 | albuquerque | 4 |
| 2778 | nowhere | 4 |
| 2779 | haydensteamboat | 4 |
| 2780 | dark | 4 |
| 2781 | origin | 4 |
| 2782 | ana | 4 |
| 2783 | replace | 4 |
| 2784 | shv | 4 |
| 2785 | boise | 4 |
| 2786 | atc | 4 |
| 2787 | smallest | 4 |
| 2788 | continuous | 4 |
| 2789 | dunno | 4 |
| 2790 | outrageous | 4 |
| 2791 | norfolk | 4 |
| 2792 | allowance | 4 |
| 2793 | stranding | 4 |
| 2794 | tucson | 4 |
| 2795 | notifying | 4 |
| 2796 | pant | 4 |
| 2797 | ntrustopen | 4 |
| 2798 | redeemed | 4 |
| 2799 | cae | 4 |
| 2800 | deleted | 4 |
| 2801 | staffed | 4 |
| 2802 | hospitality | 4 |
| 2803 | anthony | 4 |
| 2804 | def | 4 |
| 2805 | snowboard | 4 |
| 2806 | honolulu | 4 |
| 2807 | miler | 4 |
| 2808 | sacramento | 4 |
| 2809 | arranged | 4 |
| 2810 | providence | 4 |
| 2811 | deiced | 4 |
| 2812 | icing | 4 |
| 2813 | quicker | 4 |
| 2814 | mths | 4 |
| 2815 | easiest | 4 |
| 2816 | restriction | 4 |
| 2817 | accidentally | 4 |
| 2818 | duh | 4 |
| 2819 | ruin | 4 |
| 2820 | tremendous | 4 |
| 2821 | goal | 4 |
| 2822 | traveller | 4 |
| 2823 | orig | 4 |
| 2824 | cooky | 4 |
| 2825 | calgary | 4 |
| 2826 | approve | 4 |
| 2827 | ship | 4 |
| 2828 | wno | 4 |
| 2829 | halfway | 4 |
| 2830 | texted | 4 |
| 2831 | remind | 4 |
| 2832 | lmfao | 4 |
| 2833 | ali | 4 |
| 2834 | collection | 4 |
| 2835 | responds | 4 |
| 2836 | hmmm | 4 |
| 2837 | normally | 4 |
| 2838 | trash | 4 |
| 2839 | aboard | 4 |
| 2840 | stock | 4 |
| 2841 | threatened | 4 |
| 2842 | mid | 4 |
| 2843 | comcast | 4 |
| 2844 | difficulty | 4 |
| 2845 | cruise | 4 |
| 2846 | nola | 4 |
| 2847 | sm | 4 |
| 2848 | inefficient | 4 |
| 2849 | promising | 4 |
| 2850 | favor | 4 |
| 2851 | cramped | 4 |
| 2852 | lh | 4 |
| 2853 | awkward | 4 |
| 2854 | forgive | 4 |
| 2855 | newyork | 4 |
| 2856 | smoothly | 4 |
| 2857 | becoming | 4 |
| 2858 | thomas | 4 |
| 2859 | seemed | 4 |
| 2860 | owner | 4 |
| 2861 | ignore | 4 |
| 2862 | blanket | 4 |
| 2863 | fc | 4 |
| 2864 | refuel | 4 |
| 2865 | armrest | 4 |
| 2866 | remote | 4 |
| 2867 | insulting | 4 |
| 2868 | twelve | 4 |
| 2869 | letsgo | 4 |
| 2870 | combine | 4 |
| 2871 | therefore | 4 |
| 2872 | notimpressed | 4 |
| 2873 | functioning | 4 |
| 2874 | played | 4 |
| 2875 | pile | 4 |
| 2876 | patiently | 4 |
| 2877 | chocolate | 4 |
| 2878 | arrange | 4 |
| 2879 | jeff | 4 |
| 2880 | chill | 4 |
| 2881 | tray | 4 |
| 2882 | rented | 4 |
| 2883 | donation | 4 |
| 2884 | galley | 4 |
| 2885 | alive | 4 |
| 2886 | nocustomerservice | 4 |
| 2887 | dial | 4 |
| 2888 | accordingly | 4 |
| 2889 | duty | 4 |
| 2890 | fave | 4 |
| 2891 | dpt | 4 |
| 2892 | average | 4 |
| 2893 | expedited | 4 |
| 2894 | refundable | 4 |
| 2895 | praying | 4 |
| 2896 | hide | 4 |
| 2897 | oversold | 4 |
| 2898 | cloud | 4 |
| 2899 | experiencing | 4 |
| 2900 | considered | 4 |
| 2901 | rant | 4 |
| 2902 | argentina | 4 |
| 2903 | sop | 4 |
| 2904 | entering | 4 |
| 2905 | perfectomobile | 4 |
| 2906 | ups | 4 |
| 2907 | supposedly | 4 |
| 2908 | incorrect | 4 |
| 2909 | sayin | 4 |
| 2910 | incorrectly | 4 |
| 2911 | dep | 4 |
| 2912 | equally | 4 |
| 2913 | timed | 4 |
| 2914 | uniform | 4 |
| 2915 | loc | 4 |
| 2916 | punta | 4 |
| 2917 | cana | 4 |
| 2918 | linked | 4 |
| 2919 | rushed | 4 |
| 2920 | specifically | 4 |
| 2921 | unaware | 4 |
| 2922 | corrected | 4 |
| 2923 | sydney | 4 |
| 2924 | hardworking | 4 |
| 2925 | sticking | 4 |
| 2926 | british_airways | 4 |
| 2927 | rudest | 4 |
| 2928 | midland | 4 |
| 2929 | cat | 4 |
| 2930 | approved | 4 |
| 2931 | boeing | 4 |
| 2932 | cert | 4 |
| 2933 | hoped | 4 |
| 2934 | precious | 4 |
| 2935 | locked | 4 |
| 2936 | shannon | 4 |
| 2937 | lowest | 4 |
| 2938 | identical | 4 |
| 2939 | honored | 4 |
| 2940 | federal | 4 |
| 2941 | passing | 4 |
| 2942 | internal | 4 |
| 2943 | flyunited | 4 |
| 2944 | functionality | 4 |
| 2945 | cheated | 4 |
| 2946 | rudeness | 4 |
| 2947 | highlight | 4 |
| 2948 | gent | 4 |
| 2949 | holy | 4 |
| 2950 | everywhere | 4 |
| 2951 | entirely | 4 |
| 2952 | ny_njairports | 4 |
| 2953 | disorganized | 4 |
| 2954 | nicer | 4 |
| 2955 | budget | 4 |
| 2956 | cocktail | 4 |
| 2957 | proceed | 4 |
| 2958 | anamarketers | 4 |
| 2959 | tip | 4 |
| 2960 | clever | 4 |
| 2961 | allows | 4 |
| 2962 | allergy | 4 |
| 2963 | test | 4 |
| 2964 | profile | 4 |
| 2965 | streaming | 4 |
| 2966 | signal | 4 |
| 2967 | reflect | 4 |
| 2968 | integration | 4 |
| 2969 | scene | 4 |
| 2970 | display | 4 |
| 2971 | interaction | 4 |
| 2972 | arizona | 4 |
| 2973 | rethinking | 4 |
| 2974 | daytona | 4 |
| 2975 | contingency | 4 |
| 2976 | miracle | 4 |
| 2977 | aruba | 4 |
| 2978 | sometimes | 4 |
| 2979 | elderly | 4 |
| 2980 | nolove | 4 |
| 2981 | asshole | 4 |
| 2982 | holdup | 4 |
| 2983 | az | 4 |
| 2984 | valentine | 4 |
| 2985 | photography | 4 |
| 2986 | maiden | 4 |
| 2987 | doug | 4 |
| 2988 | concert | 4 |
| 2989 | restroom | 4 |
| 2990 | el | 4 |
| 2991 | servicing | 4 |
| 2992 | opinion | 4 |
| 2993 | indianapolis | 4 |
| 2994 | disrespectful | 4 |
| 2995 | winterweather | 4 |
| 2996 | gun | 4 |
| 2997 | inclement | 4 |
| 2998 | crowd | 4 |
| 2999 | steal | 4 |
| 3000 | amex | 4 |
| 3001 | responsive | 4 |
| 3002 | gracias | 4 |
| 3003 | carolina | 4 |
| 3004 | rid | 4 |
| 3005 | protocol | 4 |
| 3006 | bottom | 4 |
| 3007 | bestairline | 4 |
| 3008 | ragandisney | 4 |
| 3009 | recovery | 4 |
| 3010 | wknd | 4 |
| 3011 | kicking | 4 |
| 3012 | woohoo | 4 |
| 3013 | bloody | 4 |
| 3014 | bike | 4 |
| 3015 | require | 4 |
| 3016 | ahhhh | 4 |
| 3017 | behavior | 4 |
| 3018 | tryin | 4 |
| 3019 | mt | 4 |
| 3020 | dsm | 4 |
| 3021 | create | 4 |
| 3022 | deplorable | 4 |
| 3023 | pooling | 4 |
| 3024 | madness | 4 |
| 3025 | sc | 4 |
| 3026 | deny | 4 |
| 3027 | um | 4 |
| 3028 | nassau | 4 |
| 3029 | jetbae | 4 |
| 3030 | gladly | 4 |
| 3031 | surely | 4 |
| 3032 | opposite | 4 |
| 3033 | idk | 4 |
| 3034 | odds | 4 |
| 3035 | yest | 4 |
| 3036 | praise | 4 |
| 3037 | gorgeous | 4 |
| 3038 | sunshine | 4 |
| 3039 | brandloveaffair | 4 |
| 3040 | nine | 4 |
| 3041 | release | 4 |
| 3042 | nasdaq | 4 |
| 3043 | loosing | 4 |
| 3044 | dl | 4 |
| 3045 | div | 4 |
| 3046 | seven | 4 |
| 3047 | island | 4 |
| 3048 | lovejetblue | 4 |
| 3049 | unwilling | 4 |
| 3050 | nvr | 4 |
| 3051 | italy | 4 |
| 3052 | marie | 4 |
| 3053 | anybody | 4 |
| 3054 | kylejudah | 4 |
| 3055 | jayvig | 4 |
| 3056 | utterly | 4 |
| 3057 | inconvenienced | 4 |
| 3058 | oneworld | 4 |
| 3059 | sabre | 4 |
| 3060 | kphl | 4 |
| 3061 | phil | 4 |
| 3062 | fear | 4 |
| 3063 | usairsucks | 4 |
| 3064 | cherry | 4 |
| 3065 | srvc | 4 |
| 3066 | cr | 4 |
| 3067 | jeanine | 4 |
| 3068 | yousuck | 4 |
| 3069 | askpaypal | 4 |
| 3070 | yuma | 4 |
| 3071 | thenewamerican | 4 |
| 3072 | rampers | 4 |
| 3073 | sexual | 4 |
| 3074 | rev | 4 |
| 3075 | goodbye | 4 |
| 3076 | derekc | 4 |
| 3077 | aggressive | 3 |
| 3078 | men | 3 |
| 3079 | vegan | 3 |
| 3080 | worstflightever | 3 |
| 3081 | roasted | 3 |
| 3082 | downtown | 3 |
| 3083 | blew | 3 |
| 3084 | entertaining | 3 |
| 3085 | julie | 3 |
| 3086 | modify | 3 |
| 3087 | neverflyvirginforbusiness | 3 |
| 3088 | distribution | 3 |
| 3089 | scanned | 3 |
| 3090 | peep | 3 |
| 3091 | apt | 3 |
| 3092 | butt | 3 |
| 3093 | reputation | 3 |
| 3094 | intern | 3 |
| 3095 | hotline | 3 |
| 3096 | indicates | 3 |
| 3097 | dude | 3 |
| 3098 | spoiled | 3 |
| 3099 | sunset | 3 |
| 3100 | refreshed | 3 |
| 3101 | rec | 3 |
| 3102 | dance | 3 |
| 3103 | recline | 3 |
| 3104 | precipitation | 3 |
| 3105 | refusing | 3 |
| 3106 | disruption | 3 |
| 3107 | unusable | 3 |
| 3108 | sanfrancisco | 3 |
| 3109 | faanews | 3 |
| 3110 | painless | 3 |
| 3111 | woaw | 3 |
| 3112 | lieflat | 3 |
| 3113 | arm | 3 |
| 3114 | mayweatherpacquiao | 3 |
| 3115 | doctor | 3 |
| 3116 | kciairport | 3 |
| 3117 | soooo | 3 |
| 3118 | dislike | 3 |
| 3119 | capa_aviation | 3 |
| 3120 | mostly | 3 |
| 3121 | noooo | 3 |
| 3122 | urgent | 3 |
| 3123 | cancer | 3 |
| 3124 | momma | 3 |
| 3125 | duffle | 3 |
| 3126 | soft | 3 |
| 3127 | pink | 3 |
| 3128 | lighting | 3 |
| 3129 | celebrating | 3 |
| 3130 | atx | 3 |
| 3131 | gesture | 3 |
| 3132 | plough | 3 |
| 3133 | lone | 3 |
| 3134 | furrow | 3 |
| 3135 | middleeast | 3 |
| 3136 | thenationaluae | 3 |
| 3137 | bounce | 3 |
| 3138 | dick | 3 |
| 3139 | heaven | 3 |
| 3140 | announces | 3 |
| 3141 | austinairport | 3 |
| 3142 | xweekly | 3 |
| 3143 | jack | 3 |
| 3144 | usatoday | 3 |
| 3145 | mph | 3 |
| 3146 | tailwind | 3 |
| 3147 | minneapolis | 3 |
| 3148 | waived | 3 |
| 3149 | hugely | 3 |
| 3150 | glasgow | 3 |
| 3151 | ta | 3 |
| 3152 | logic | 3 |
| 3153 | gee | 3 |
| 3154 | repeatedly | 3 |
| 3155 | newly | 3 |
| 3156 | instructed | 3 |
| 3157 | recheck | 3 |
| 3158 | codeshare | 3 |
| 3159 | disabled | 3 |
| 3160 | plague | 3 |
| 3161 | complained | 3 |
| 3162 | roger | 3 |
| 3163 | wc | 3 |
| 3164 | worstunitedflightsever | 3 |
| 3165 | pattern | 3 |
| 3166 | repeated | 3 |
| 3167 | neglect | 3 |
| 3168 | legitimate | 3 |
| 3169 | systemwide | 3 |
| 3170 | unrelate | 3 |
| 3171 | french | 3 |
| 3172 | youk | 3 |
| 3173 | pop | 3 |
| 3174 | indication | 3 |
| 3175 | fiancee | 3 |
| 3176 | quoted | 3 |
| 3177 | remembered | 3 |
| 3178 | convenient | 3 |
| 3179 | recommended | 3 |
| 3180 | completed | 3 |
| 3181 | thanx | 3 |
| 3182 | wour | 3 |
| 3183 | runaround | 3 |
| 3184 | skiing | 3 |
| 3185 | bright | 3 |
| 3186 | pack | 3 |
| 3187 | addtl | 3 |
| 3188 | stall | 3 |
| 3189 | rearrange | 3 |
| 3190 | ethiopia | 3 |
| 3191 | frigid | 3 |
| 3192 | unscheduled | 3 |
| 3193 | suspect | 3 |
| 3194 | mass | 3 |
| 3195 | displayed | 3 |
| 3196 | reinstated | 3 |
| 3197 | christmas | 3 |
| 3198 | secured | 3 |
| 3199 | permission | 3 |
| 3200 | vice | 3 |
| 3201 | voided | 3 |
| 3202 | argument | 3 |
| 3203 | shaking | 3 |
| 3204 | committed | 3 |
| 3205 | isi | 3 |
| 3206 | blocked | 3 |
| 3207 | assisting | 3 |
| 3208 | tuned | 3 |
| 3209 | deaf | 3 |
| 3210 | president | 3 |
| 3211 | dublin | 3 |
| 3212 | pjs | 3 |
| 3213 | confidence | 3 |
| 3214 | woke | 3 |
| 3215 | coworker | 3 |
| 3216 | settled | 3 |
| 3217 | saga | 3 |
| 3218 | preboarding | 3 |
| 3219 | kick | 3 |
| 3220 | compared | 3 |
| 3221 | bkk | 3 |
| 3222 | jms | 3 |
| 3223 | collect | 3 |
| 3224 | formally | 3 |
| 3225 | pointless | 3 |
| 3226 | stunning | 3 |
| 3227 | piss | 3 |
| 3228 | deplaning | 3 |
| 3229 | pray | 3 |
| 3230 | slightly | 3 |
| 3231 | altitude | 3 |
| 3232 | supply | 3 |
| 3233 | oct | 3 |
| 3234 | milan | 3 |
| 3235 | jj | 3 |
| 3236 | paste | 3 |
| 3237 | clown | 3 |
| 3238 | terribleservice | 3 |
| 3239 | blatant | 3 |
| 3240 | eu | 3 |
| 3241 | wreck | 3 |
| 3242 | ons | 3 |
| 3243 | hopeless | 3 |
| 3244 | interior | 3 |
| 3245 | peace | 3 |
| 3246 | filling | 3 |
| 3247 | inept | 3 |
| 3248 | fucken | 3 |
| 3249 | frontrunner | 3 |
| 3250 | charm | 3 |
| 3251 | performing | 3 |
| 3252 | stayed | 3 |
| 3253 | sunglass | 3 |
| 3254 | bull | 3 |
| 3255 | liar | 3 |
| 3256 | hourdelay | 3 |
| 3257 | happycustomer | 3 |
| 3258 | timing | 3 |
| 3259 | otis | 3 |
| 3260 | probs | 3 |
| 3261 | irresponsible | 3 |
| 3262 | sympathetic | 3 |
| 3263 | sao | 3 |
| 3264 | paulo | 3 |
| 3265 | rcvd | 3 |
| 3266 | comedy | 3 |
| 3267 | discover | 3 |
| 3268 | voicemail | 3 |
| 3269 | resolving | 3 |
| 3270 | compare | 3 |
| 3271 | educate | 3 |
| 3272 | gnv | 3 |
| 3273 | mike | 3 |
| 3274 | intention | 3 |
| 3275 | winterstorm | 3 |
| 3276 | gettin | 3 |
| 3277 | sunrise | 3 |
| 3278 | arrogant | 3 |
| 3279 | thus | 3 |
| 3280 | rikrik__ | 3 |
| 3281 | fewer | 3 |
| 3282 | overflight | 3 |
| 3283 | shirt | 3 |
| 3284 | seg | 3 |
| 3285 | siting | 3 |
| 3286 | separated | 3 |
| 3287 | radio | 3 |
| 3288 | disgruntled | 3 |
| 3289 | screaming | 3 |
| 3290 | carryons | 3 |
| 3291 | strongly | 3 |
| 3292 | renting | 3 |
| 3293 | affect | 3 |
| 3294 | grandfather | 3 |
| 3295 | approaching | 3 |
| 3296 | empathy | 3 |
| 3297 | calendar | 3 |
| 3298 | delete | 3 |
| 3299 | happier | 3 |
| 3300 | priceless | 3 |
| 3301 | thread | 3 |
| 3302 | eco | 3 |
| 3303 | purchasing | 3 |
| 3304 | hemisphere | 3 |
| 3305 | boot | 3 |
| 3306 | pressurization | 3 |
| 3307 | cnx | 3 |
| 3308 | checkpoint | 3 |
| 3309 | throw | 3 |
| 3310 | immediate | 3 |
| 3311 | visible | 3 |
| 3312 | guideline | 3 |
| 3313 | pin | 3 |
| 3314 | taxing | 3 |
| 3315 | shouldhaveflowndelta | 3 |
| 3316 | clarify | 3 |
| 3317 | checkins | 3 |
| 3318 | bk | 3 |
| 3319 | tks | 3 |
| 3320 | border | 3 |
| 3321 | trvl | 3 |
| 3322 | con | 3 |
| 3323 | tour | 3 |
| 3324 | appreciation | 3 |
| 3325 | flysfo | 3 |
| 3326 | draw | 3 |
| 3327 | jeokoo | 3 |
| 3328 | solo | 3 |
| 3329 | exclusively | 3 |
| 3330 | qantas | 3 |
| 3331 | cruel | 3 |
| 3332 | flattering | 3 |
| 3333 | legit | 3 |
| 3334 | increase | 3 |
| 3335 | speaks | 3 |
| 3336 | approx | 3 |
| 3337 | regardless | 3 |
| 3338 | foxnews | 3 |
| 3339 | transit | 3 |
| 3340 | preflight | 3 |
| 3341 | culture | 3 |
| 3342 | ranked | 3 |
| 3343 | adam | 3 |
| 3344 | livid | 3 |
| 3345 | opal | 3 |
| 3346 | woven | 3 |
| 3347 | murdering | 3 |
| 3348 | internationally | 3 |
| 3349 | turnaround | 3 |
| 3350 | individual | 3 |
| 3351 | oz | 3 |
| 3352 | concept | 3 |
| 3353 | econ | 3 |
| 3354 | submitting | 3 |
| 3355 | carried | 3 |
| 3356 | movement | 3 |
| 3357 | competent | 3 |
| 3358 | catered | 3 |
| 3359 | preference | 3 |
| 3360 | insulted | 3 |
| 3361 | vital | 3 |
| 3362 | guessing | 3 |
| 3363 | hole | 3 |
| 3364 | hrmin | 3 |
| 3365 | celebrate | 3 |
| 3366 | backlog | 3 |
| 3367 | upgrading | 3 |
| 3368 | advised | 3 |
| 3369 | downhill | 3 |
| 3370 | username | 3 |
| 3371 | orbitz | 3 |
| 3372 | inevitable | 3 |
| 3373 | greedy | 3 |
| 3374 | chief | 3 |
| 3375 | noted | 3 |
| 3376 | curbside | 3 |
| 3377 | cp | 3 |
| 3378 | smell | 3 |
| 3379 | kingscollegelondon | 3 |
| 3380 | jailbreak | 3 |
| 3381 | rag | 3 |
| 3382 | columbia | 3 |
| 3383 | rotten | 3 |
| 3384 | ordeal | 3 |
| 3385 | notgoodenough | 3 |
| 3386 | airlinegeeks | 3 |
| 3387 | verify | 3 |
| 3388 | improved | 3 |
| 3389 | bye | 3 |
| 3390 | former | 3 |
| 3391 | pia | 3 |
| 3392 | quit | 3 |
| 3393 | bro | 3 |
| 3394 | jfklax | 3 |
| 3395 | blowing | 3 |
| 3396 | booze | 3 |
| 3397 | beware | 3 |
| 3398 | base | 3 |
| 3399 | beg | 3 |
| 3400 | frontier | 3 |
| 3401 | harsh | 3 |
| 3402 | entitled | 3 |
| 3403 | reek | 3 |
| 3404 | vomit | 3 |
| 3405 | indicated | 3 |
| 3406 | discrimination | 3 |
| 3407 | reminding | 3 |
| 3408 | expiring | 3 |
| 3409 | enjoyable | 3 |
| 3410 | jedediahbila | 3 |
| 3411 | path | 3 |
| 3412 | loser | 3 |
| 3413 | warmth | 3 |
| 3414 | sentiment | 3 |
| 3415 | regional | 3 |
| 3416 | friendliest | 3 |
| 3417 | privilege | 3 |
| 3418 | mn | 3 |
| 3419 | clarifying | 3 |
| 3420 | stow | 3 |
| 3421 | pnr | 3 |
| 3422 | smisek | 3 |
| 3423 | aw | 3 |
| 3424 | issuing | 3 |
| 3425 | hug | 3 |
| 3426 | hangar | 3 |
| 3427 | janet | 3 |
| 3428 | xdaily | 3 |
| 3429 | erj | 3 |
| 3430 | entry | 3 |
| 3431 | sobewff | 3 |
| 3432 | resulting | 3 |
| 3433 | stepping | 3 |
| 3434 | ont | 3 |
| 3435 | uncaring | 3 |
| 3436 | perth | 3 |
| 3437 | nxt | 3 |
| 3438 | evry | 3 |
| 3439 | mht | 3 |
| 3440 | ru | 3 |
| 3441 | silence | 3 |
| 3442 | moon | 3 |
| 3443 | woo | 3 |
| 3444 | fr | 3 |
| 3445 | typo | 3 |
| 3446 | pleasantly | 3 |
| 3447 | replied | 3 |
| 3448 | awake | 3 |
| 3449 | shipped | 3 |
| 3450 | nothanks | 3 |
| 3451 | suite | 3 |
| 3452 | promptly | 3 |
| 3453 | pretend | 3 |
| 3454 | sa | 3 |
| 3455 | trick | 3 |
| 3456 | heathrowairport | 3 |
| 3457 | irritating | 3 |
| 3458 | err | 3 |
| 3459 | xday | 3 |
| 3460 | stillwaiting | 3 |
| 3461 | slip | 3 |
| 3462 | overseas | 3 |
| 3463 | registered | 3 |
| 3464 | stopping | 3 |
| 3465 | jerk | 3 |
| 3466 | accomplished | 3 |
| 3467 | batting | 3 |
| 3468 | slapintheface | 3 |
| 3469 | capital | 3 |
| 3470 | reinstate | 3 |
| 3471 | amateur | 3 |
| 3472 | tnx | 3 |
| 3473 | invite | 3 |
| 3474 | fallow | 3 |
| 3475 | health | 3 |
| 3476 | guaranteed | 3 |
| 3477 | math | 3 |
| 3478 | metro | 3 |
| 3479 | laugh | 3 |
| 3480 | insufficient | 3 |
| 3481 | staffer | 3 |
| 3482 | westjet | 3 |
| 3483 | apparent | 3 |
| 3484 | blown | 3 |
| 3485 | nicest | 3 |
| 3486 | technology | 3 |
| 3487 | coworkers | 3 |
| 3488 | storage | 3 |
| 3489 | bitch | 3 |
| 3490 | knee | 3 |
| 3491 | shade | 3 |
| 3492 | wrap | 3 |
| 3493 | troubleshoot | 3 |
| 3494 | stone | 3 |
| 3495 | court | 3 |
| 3496 | hashtag | 3 |
| 3497 | previously | 3 |
| 3498 | priced | 3 |
| 3499 | payed | 3 |
| 3500 | fella | 3 |
| 3501 | presented | 3 |
| 3502 | dining | 3 |
| 3503 | hometown | 3 |
| 3504 | hypocrisy | 3 |
| 3505 | replaced | 3 |
| 3506 | captive | 3 |
| 3507 | jane | 3 |
| 3508 | input | 3 |
| 3509 | disappear | 3 |
| 3510 | hidden | 3 |
| 3511 | frank | 3 |
| 3512 | decency | 3 |
| 3513 | closing | 3 |
| 3514 | fiance | 3 |
| 3515 | protect | 3 |
| 3516 | asks | 3 |
| 3517 | ferry | 3 |
| 3518 | inbox | 3 |
| 3519 | honoring | 3 |
| 3520 | boat | 3 |
| 3521 | distance | 3 |
| 3522 | outdated | 3 |
| 3523 | myers | 3 |
| 3524 | durango | 3 |
| 3525 | meantime | 3 |
| 3526 | survive | 3 |
| 3527 | cld | 3 |
| 3528 | proactive | 3 |
| 3529 | port | 3 |
| 3530 | pregnant | 3 |
| 3531 | sweetheart | 3 |
| 3532 | processing | 3 |
| 3533 | ffl | 3 |
| 3534 | taylor | 3 |
| 3535 | vallarta | 3 |
| 3536 | honey | 3 |
| 3537 | france | 3 |
| 3538 | delayscancelled | 3 |
| 3539 | affordable | 3 |
| 3540 | al | 3 |
| 3541 | urgently | 3 |
| 3542 | lynn | 3 |
| 3543 | cb | 3 |
| 3544 | nephew | 3 |
| 3545 | lindsey | 3 |
| 3546 | principle | 3 |
| 3547 | larger | 3 |
| 3548 | combination | 3 |
| 3549 | texting | 3 |
| 3550 | luvswa | 3 |
| 3551 | capacity | 3 |
| 3552 | entertain | 3 |
| 3553 | strip | 3 |
| 3554 | proving | 3 |
| 3555 | earlybird | 3 |
| 3556 | apologizing | 3 |
| 3557 | cellphone | 3 |
| 3558 | weatherrelate | 3 |
| 3559 | intercom | 3 |
| 3560 | nsw | 3 |
| 3561 | chg | 3 |
| 3562 | flgt | 3 |
| 3563 | unveils | 3 |
| 3564 | orangecounty | 3 |
| 3565 | spam | 3 |
| 3566 | ing | 3 |
| 3567 | series | 3 |
| 3568 | phxskyharbor | 3 |
| 3569 | robot | 3 |
| 3570 | tue | 3 |
| 3571 | huntsville | 3 |
| 3572 | lasairport | 3 |
| 3573 | carpet | 3 |
| 3574 | secret | 3 |
| 3575 | amazed | 3 |
| 3576 | homeless | 3 |
| 3577 | unpleasant | 3 |
| 3578 | prop | 3 |
| 3579 | rumor | 3 |
| 3580 | soaked | 3 |
| 3581 | comped | 3 |
| 3582 | sb | 3 |
| 3583 | boycott | 3 |
| 3584 | aarp | 3 |
| 3585 | goin | 3 |
| 3586 | alex | 3 |
| 3587 | seatac | 3 |
| 3588 | tree | 3 |
| 3589 | wld | 3 |
| 3590 | relax | 3 |
| 3591 | sudden | 3 |
| 3592 | paso | 3 |
| 3593 | coordinate | 3 |
| 3594 | particular | 3 |
| 3595 | craziness | 3 |
| 3596 | wheelsup | 3 |
| 3597 | portion | 3 |
| 3598 | bgr | 3 |
| 3599 | insist | 3 |
| 3600 | theellenshow | 3 |
| 3601 | complicated | 3 |
| 3602 | fly_nashville | 3 |
| 3603 | cxld | 3 |
| 3604 | jumped | 3 |
| 3605 | horror | 3 |
| 3606 | divert | 3 |
| 3607 | soul | 3 |
| 3608 | range | 3 |
| 3609 | rip | 3 |
| 3610 | buyer | 3 |
| 3611 | noone | 3 |
| 3612 | rn | 3 |
| 3613 | jacquie | 3 |
| 3614 | plitt | 3 |
| 3615 | unhappycustomer | 3 |
| 3616 | refer | 3 |
| 3617 | hotmailcom | 3 |
| 3618 | bwi_airport | 3 |
| 3619 | srsly | 3 |
| 3620 | gosh | 3 |
| 3621 | happiness | 3 |
| 3622 | vaca | 3 |
| 3623 | invalid | 3 |
| 3624 | android | 3 |
| 3625 | jason | 3 |
| 3626 | rescue | 3 |
| 3627 | gotcha | 3 |
| 3628 | gmail | 3 |
| 3629 | hrl | 3 |
| 3630 | oversize | 3 |
| 3631 | instrument | 3 |
| 3632 | forgotten | 3 |
| 3633 | goto | 3 |
| 3634 | wmy | 3 |
| 3635 | logo | 3 |
| 3636 | agt | 3 |
| 3637 | mvp | 3 |
| 3638 | understands | 3 |
| 3639 | physically | 3 |
| 3640 | misleading | 3 |
| 3641 | filing | 3 |
| 3642 | whoa | 3 |
| 3643 | flower | 3 |
| 3644 | swadiversity | 3 |
| 3645 | mardigras | 3 |
| 3646 | sooo | 3 |
| 3647 | flysouthwest | 3 |
| 3648 | possibility | 3 |
| 3649 | txt | 3 |
| 3650 | communicated | 3 |
| 3651 | covered | 3 |
| 3652 | backpack | 3 |
| 3653 | scenario | 3 |
| 3654 | snag | 3 |
| 3655 | rocked | 3 |
| 3656 | gmailcom | 3 |
| 3657 | gsp | 3 |
| 3658 | separately | 3 |
| 3659 | starving | 3 |
| 3660 | bummed | 3 |
| 3661 | hangup | 3 |
| 3662 | inability | 3 |
| 3663 | staffing | 3 |
| 3664 | jetbluesofly | 3 |
| 3665 | reader | 3 |
| 3666 | occasion | 3 |
| 3667 | uvf | 3 |
| 3668 | westchester | 3 |
| 3669 | tatianaking | 3 |
| 3670 | thewayoftheid | 3 |
| 3671 | redirect | 3 |
| 3672 | discovered | 3 |
| 3673 | stealing | 3 |
| 3674 | rely | 3 |
| 3675 | wmcactionnews | 3 |
| 3676 | blank | 3 |
| 3677 | toledo | 3 |
| 3678 | lord | 3 |
| 3679 | community | 3 |
| 3680 | awww | 3 |
| 3681 | woof | 3 |
| 3682 | charter | 3 |
| 3683 | pitt | 3 |
| 3684 | joanna | 3 |
| 3685 | robert | 3 |
| 3686 | specified | 3 |
| 3687 | amybruni | 3 |
| 3688 | maimi | 3 |
| 3689 | testing | 3 |
| 3690 | abcnetwork | 3 |
| 3691 | geek | 3 |
| 3692 | disorganization | 3 |
| 3693 | apologizes | 3 |
| 3694 | untz | 3 |
| 3695 | syracuse | 3 |
| 3696 | hayes | 3 |
| 3697 | endless | 3 |
| 3698 | srq | 3 |
| 3699 | jetbluerocks | 3 |
| 3700 | controller | 3 |
| 3701 | coke | 3 |
| 3702 | flite | 3 |
| 3703 | chs | 3 |
| 3704 | mercy | 3 |
| 3705 | pig | 3 |
| 3706 | jumping | 3 |
| 3707 | marathon | 3 |
| 3708 | ping | 3 |
| 3709 | likelihood | 3 |
| 3710 | trading | 3 |
| 3711 | reality | 3 |
| 3712 | dare | 3 |
| 3713 | diverting | 3 |
| 3714 | lovesongfriday | 3 |
| 3715 | taxiing | 3 |
| 3716 | slide | 3 |
| 3717 | tb | 3 |
| 3718 | crewmember | 3 |
| 3719 | sounded | 3 |
| 3720 | angel | 3 |
| 3721 | qualify | 3 |
| 3722 | coverage | 3 |
| 3723 | physical | 3 |
| 3724 | zkatcher | 3 |
| 3725 | convo | 3 |
| 3726 | comm | 3 |
| 3727 | fed | 3 |
| 3728 | youth | 3 |
| 3729 | dcabos | 3 |
| 3730 | sensitive | 3 |
| 3731 | greatest | 3 |
| 3732 | exists | 3 |
| 3733 | paint | 3 |
| 3734 | robbed | 3 |
| 3735 | safetyfirst | 3 |
| 3736 | crewmembers | 3 |
| 3737 | ellahenderson | 3 |
| 3738 | vincenzolandino | 3 |
| 3739 | style | 3 |
| 3740 | roxydigital | 3 |
| 3741 | registration | 3 |
| 3742 | challenging | 3 |
| 3743 | pump | 3 |
| 3744 | breast | 3 |
| 3745 | beamske | 3 |
| 3746 | citizen | 3 |
| 3747 | grace | 3 |
| 3748 | bougth | 3 |
| 3749 | mc | 3 |
| 3750 | basket | 3 |
| 3751 | vm | 3 |
| 3752 | customerrelations | 3 |
| 3753 | aacom | 3 |
| 3754 | argued | 3 |
| 3755 | detailed | 3 |
| 3756 | shock | 3 |
| 3757 | derrick | 3 |
| 3758 | bussey | 3 |
| 3759 | misunderstood | 3 |
| 3760 | eyw | 3 |
| 3761 | kim | 3 |
| 3762 | cargo | 3 |
| 3763 | nbr | 3 |
| 3764 | waa | 3 |
| 3765 | wd | 3 |
| 3766 | delayedcancelled | 3 |
| 3767 | cincy | 3 |
| 3768 | glove | 3 |
| 3769 | gainesville | 3 |
| 3770 | pst | 3 |
| 3771 | patrick | 3 |
| 3772 | sauce | 3 |
| 3773 | onholdwith | 3 |
| 3774 | goingforgreatnessfail | 3 |
| 3775 | gso | 3 |
| 3776 | usaa | 3 |
| 3777 | unload | 3 |
| 3778 | housing | 3 |
| 3779 | lodging | 3 |
| 3780 | unusual | 3 |
| 3781 | jtrexsocial | 3 |
| 3782 | xna | 3 |
| 3783 | faulty | 3 |
| 3784 | horriblecustomerservice | 3 |
| 3785 | joined | 3 |
| 3786 | sweetingr | 3 |
| 3787 | sean | 3 |
| 3788 | billing | 3 |
| 3789 | fresno | 3 |
| 3790 | cho | 3 |
| 3791 | bout | 3 |
| 3792 | appreciates | 3 |
| 3793 | crowded | 3 |
| 3794 | manch | 3 |
| 3795 | execplat | 3 |
| 3796 | faithful | 3 |
| 3797 | inferior | 3 |
| 3798 | mastercard | 3 |
| 3799 | yell | 3 |
| 3800 | parker | 3 |
| 3801 | provides | 3 |
| 3802 | cycle | 3 |
| 3803 | waivethefee | 3 |
| 3804 | notmyfault | 3 |
| 3805 | deadhead | 3 |
| 3806 | jack_kairys | 3 |
| 3807 | gem | 3 |
| 3808 | senseless | 3 |
| 3809 | grk | 3 |
| 3810 | dialing | 3 |
| 3811 | wichita | 3 |
| 3812 | mce | 3 |
| 3813 | veers | 3 |
| 3814 | auh | 3 |
| 3815 | worstcustomerserviceever | 3 |
| 3816 | latimes | 3 |
| 3817 | chicagotribune | 3 |
| 3818 | fourth | 3 |
| 3819 | envoy | 3 |
| 3820 | evoucher | 3 |
| 3821 | cnnbrk | 3 |
| 3822 | oaaret | 3 |
| 3823 | mtg | 3 |
| 3824 | cll | 3 |
| 3825 | ky | 3 |
| 3826 | billion | 3 |
| 3827 | taste | 3 |
| 3828 | badmgmt | 3 |
| 3829 | hoop | 3 |
| 3830 | blast | 2 |
| 3831 | obnoxious | 2 |
| 3832 | ear | 2 |
| 3833 | graphic | 2 |
| 3834 | gentleman | 2 |
| 3835 | amazingly | 2 |
| 3836 | permanently | 2 |
| 3837 | vent | 2 |
| 3838 | maneuver | 2 |
| 3839 | selfservice | 2 |
| 3840 | vibe | 2 |
| 3841 | moodlitmonday | 2 |
| 3842 | sciencebehindtheexperience | 2 |
| 3843 | moodlighting | 2 |
| 3844 | los | 2 |
| 3845 | angeles | 2 |
| 3846 | mountain | 2 |
| 3847 | spotify | 2 |
| 3848 | gaga | 2 |
| 3849 | carrie | 2 |
| 3850 | meh | 2 |
| 3851 | classic | 2 |
| 3852 | kitty | 2 |
| 3853 | prince | 2 |
| 3854 | sfolax | 2 |
| 3855 | sneaky | 2 |
| 3856 | tripping | 2 |
| 3857 | represents | 2 |
| 3858 | beautifully | 2 |
| 3859 | compatible | 2 |
| 3860 | delighted | 2 |
| 3861 | xoxo | 2 |
| 3862 | creates | 2 |
| 3863 | anxiety | 2 |
| 3864 | princesshalf | 2 |
| 3865 | pairing | 2 |
| 3866 | dallasaustin | 2 |
| 3867 | dallas_news | 2 |
| 3868 | inquired | 2 |
| 3869 | restr | 2 |
| 3870 | thrown | 2 |
| 3871 | goodness | 2 |
| 3872 | killed | 2 |
| 3873 | mac | 2 |
| 3874 | subsequent | 2 |
| 3875 | silicon | 2 |
| 3876 | valley | 2 |
| 3877 | impending | 2 |
| 3878 | sentinel | 2 |
| 3879 | female | 2 |
| 3880 | seatbelt | 2 |
| 3881 | gopro | 2 |
| 3882 | exceed | 2 |
| 3883 | profitability | 2 |
| 3884 | sorrynotsorry | 2 |
| 3885 | sanity | 2 |
| 3886 | freyabevan_fund | 2 |
| 3887 | battling | 2 |
| 3888 | freyasfund | 2 |
| 3889 | stunned | 2 |
| 3890 | portfolio | 2 |
| 3891 | jkf | 2 |
| 3892 | rockstar | 2 |
| 3893 | demo | 2 |
| 3894 | ourprincess | 2 |
| 3895 | adore | 2 |
| 3896 | sfofll | 2 |
| 3897 | mere | 2 |
| 3898 | product | 2 |
| 3899 | digging | 2 |
| 3900 | singer | 2 |
| 3901 | squared | 2 |
| 3902 | avis | 2 |
| 3903 | yummy | 2 |
| 3904 | hair | 2 |
| 3905 | kewl | 2 |
| 3906 | donkey | 2 |
| 3907 | integrate | 2 |
| 3908 | boom | 2 |
| 3909 | slot | 2 |
| 3910 | caffeine | 2 |
| 3911 | intro | 2 |
| 3912 | affiliate | 2 |
| 3913 | refreshing | 2 |
| 3914 | apr | 2 |
| 3915 | expanding | 2 |
| 3916 | sandiego | 2 |
| 3917 | dalaus | 2 |
| 3918 | nerdbird | 2 |
| 3919 | nerd | 2 |
| 3920 | frequency | 2 |
| 3921 | lock | 2 |
| 3922 | jezziegoldz | 2 |
| 3923 | bff | 2 |
| 3924 | steel | 2 |
| 3925 | hotspot | 2 |
| 3926 | grouping | 2 |
| 3927 | exposed | 2 |
| 3928 | cu | 2 |
| 3929 | definitive | 2 |
| 3930 | reclining | 2 |
| 3931 | enroll | 2 |
| 3932 | potentially | 2 |
| 3933 | nonrefundable | 2 |
| 3934 | cheertymedad | 2 |
| 3935 | flawed | 2 |
| 3936 | necessity | 2 |
| 3937 | adult | 2 |
| 3938 | loaner | 2 |
| 3939 | inop | 2 |
| 3940 | awhile | 2 |
| 3941 | austrian | 2 |
| 3942 | colo | 2 |
| 3943 | avoided | 2 |
| 3944 | disability | 2 |
| 3945 | grp | 2 |
| 3946 | considerable | 2 |
| 3947 | starbucks | 2 |
| 3948 | sp | 2 |
| 3949 | construction | 2 |
| 3950 | surly | 2 |
| 3951 | screening | 2 |
| 3952 | hmm | 2 |
| 3953 | ordlga | 2 |
| 3954 | informative | 2 |
| 3955 | booted | 2 |
| 3956 | unaccompanied | 2 |
| 3957 | bench | 2 |
| 3958 | hannah | 2 |
| 3959 | requiresshe | 2 |
| 3960 | helppls | 2 |
| 3961 | donatert | 2 |
| 3962 | remorse | 2 |
| 3963 | obvious | 2 |
| 3964 | intact | 2 |
| 3965 | prepares | 2 |
| 3966 | reduce | 2 |
| 3967 | panic | 2 |
| 3968 | steve | 2 |
| 3969 | politely | 2 |
| 3970 | iceland | 2 |
| 3971 | disrupted | 2 |
| 3972 | lusaka | 2 |
| 3973 | transatlantic | 2 |
| 3974 | season | 2 |
| 3975 | frankly | 2 |
| 3976 | defines | 2 |
| 3977 | kul | 2 |
| 3978 | wdelays | 2 |
| 3979 | solving | 2 |
| 3980 | inquiry | 2 |
| 3981 | flypdx | 2 |
| 3982 | consolation | 2 |
| 3983 | publicly | 2 |
| 3984 | phn | 2 |
| 3985 | mammoth | 2 |
| 3986 | reviewed | 2 |
| 3987 | impress | 2 |
| 3988 | flyyow | 2 |
| 3989 | cpap | 2 |
| 3990 | refueling | 2 |
| 3991 | ward | 2 |
| 3992 | sked | 2 |
| 3993 | resulted | 2 |
| 3994 | prevented | 2 |
| 3995 | advising | 2 |
| 3996 | fro | 2 |
| 3997 | dispatch | 2 |
| 3998 | adjacent | 2 |
| 3999 | mandarinjourney | 2 |
| 4000 | momsgoodeats | 2 |
| 4001 | amenity | 2 |
| 4002 | pj | 2 |
| 4003 | wastedtime | 2 |
| 4004 | reno | 2 |
| 4005 | behalf | 2 |
| 4006 | laughed | 2 |
| 4007 | jac | 2 |
| 4008 | thanked | 2 |
| 4009 | goodenoughmother | 2 |
| 4010 | cared | 2 |
| 4011 | agnt | 2 |
| 4012 | threatens | 2 |
| 4013 | phrps | 2 |
| 4014 | overwhelmed | 2 |
| 4015 | upload | 2 |
| 4016 | ondemand | 2 |
| 4017 | goodnight | 2 |
| 4018 | searched | 2 |
| 4019 | bom | 2 |
| 4020 | ex | 2 |
| 4021 | flysaa | 2 |
| 4022 | bio | 2 |
| 4023 | placing | 2 |
| 4024 | kevin | 2 |
| 4025 | investigated | 2 |
| 4026 | enuf | 2 |
| 4027 | belfast | 2 |
| 4028 | raising | 2 |
| 4029 | rtb | 2 |
| 4030 | communicationfail | 2 |
| 4031 | possession | 2 |
| 4032 | clearing | 2 |
| 4033 | campilley | 2 |
| 4034 | reuniting | 2 |
| 4035 | recovering | 2 |
| 4036 | measure | 2 |
| 4037 | max | 2 |
| 4038 | epicfailunited | 2 |
| 4039 | mo | 2 |
| 4040 | wiped | 2 |
| 4041 | thrilled | 2 |
| 4042 | slowly | 2 |
| 4043 | jimmy | 2 |
| 4044 | samartzis | 2 |
| 4045 | surf | 2 |
| 4046 | desert | 2 |
| 4047 | remedy | 2 |
| 4048 | stillnobags | 2 |
| 4049 | stndby | 2 |
| 4050 | conveniently | 2 |
| 4051 | duped | 2 |
| 4052 | extent | 2 |
| 4053 | urgency | 2 |
| 4054 | focused | 2 |
| 4055 | bulkhead | 2 |
| 4056 | ohead | 2 |
| 4057 | medal | 2 |
| 4058 | reunion | 2 |
| 4059 | unnecessarily | 2 |
| 4060 | overselling | 2 |
| 4061 | compliant | 2 |
| 4062 | senior | 2 |
| 4063 | supporting | 2 |
| 4064 | timco | 2 |
| 4065 | clesfo | 2 |
| 4066 | unsafe | 2 |
| 4067 | fake | 2 |
| 4068 | shanghai | 2 |
| 4069 | fritz | 2 |
| 4070 | verbal | 2 |
| 4071 | complains | 2 |
| 4072 | lr | 2 |
| 4073 | taiwan | 2 |
| 4074 | averted | 2 |
| 4075 | prize | 2 |
| 4076 | injured | 2 |
| 4077 | roadwarrior | 2 |
| 4078 | invoice | 2 |
| 4079 | del | 2 |
| 4080 | preferably | 2 |
| 4081 | intended | 2 |
| 4082 | flierfriendly | 2 |
| 4083 | maysep | 2 |
| 4084 | badbusiness | 2 |
| 4085 | joking | 2 |
| 4086 | seatback | 2 |
| 4087 | birthdate | 2 |
| 4088 | noservice | 2 |
| 4089 | reissued | 2 |
| 4090 | applying | 2 |
| 4091 | timeliness | 2 |
| 4092 | condescending | 2 |
| 4093 | chk | 2 |
| 4094 | barbara | 2 |
| 4095 | downgraded | 2 |
| 4096 | freaked | 2 |
| 4097 | denairport | 2 |
| 4098 | inefficiency | 2 |
| 4099 | language | 2 |
| 4100 | roller | 2 |
| 4101 | removed | 2 |
| 4102 | king | 2 |
| 4103 | welldone | 2 |
| 4104 | goodflight | 2 |
| 4105 | caned | 2 |
| 4106 | bait | 2 |
| 4107 | tactic | 2 |
| 4108 | iahmnl | 2 |
| 4109 | clicked | 2 |
| 4110 | bounced | 2 |
| 4111 | tryna | 2 |
| 4112 | seriousness | 2 |
| 4113 | maui | 2 |
| 4114 | flightfail | 2 |
| 4115 | colombia | 2 |
| 4116 | spotty | 2 |
| 4117 | quote | 2 |
| 4118 | trace | 2 |
| 4119 | sanm | 2 |
| 4120 | amongst | 2 |
| 4121 | excellence | 2 |
| 4122 | kci | 2 |
| 4123 | intent | 2 |
| 4124 | horrific | 2 |
| 4125 | fueled | 2 |
| 4126 | inaccurate | 2 |
| 4127 | attentiveness | 2 |
| 4128 | bohol | 2 |
| 4129 | nm | 2 |
| 4130 | cebu | 2 |
| 4131 | educational | 2 |
| 4132 | uncle | 2 |
| 4133 | fax | 2 |
| 4134 | clutch | 2 |
| 4135 | packing | 2 |
| 4136 | retain | 2 |
| 4137 | sjo | 2 |
| 4138 | explore | 2 |
| 4139 | ongoing | 2 |
| 4140 | ensuring | 2 |
| 4141 | describing | 2 |
| 4142 | decline | 2 |
| 4143 | lung | 2 |
| 4144 | inconvience | 2 |
| 4145 | convince | 2 |
| 4146 | alwayslate | 2 |
| 4147 | pgh | 2 |
| 4148 | fiorettindward | 2 |
| 4149 | garciachicago | 2 |
| 4150 | invest | 2 |
| 4151 | wk | 2 |
| 4152 | centricity | 2 |
| 4153 | astounding | 2 |
| 4154 | unsure | 2 |
| 4155 | premierk | 2 |
| 4156 | ap | 2 |
| 4157 | ashley | 2 |
| 4158 | jackson | 2 |
| 4159 | misfortune | 2 |
| 4160 | copilot | 2 |
| 4161 | ouch | 2 |
| 4162 | rubbish | 2 |
| 4163 | meaningful | 2 |
| 4164 | processed | 2 |
| 4165 | oversized | 2 |
| 4166 | defend | 2 |
| 4167 | maine | 2 |
| 4168 | smoothest | 2 |
| 4169 | violation | 2 |
| 4170 | maintained | 2 |
| 4171 | flightledflight | 2 |
| 4172 | ordywg | 2 |
| 4173 | gay | 2 |
| 4174 | recovered | 2 |
| 4175 | tock | 2 |
| 4176 | spelled | 2 |
| 4177 | consistency | 2 |
| 4178 | citing | 2 |
| 4179 | adopted | 2 |
| 4180 | occur | 2 |
| 4181 | hep | 2 |
| 4182 | skilled | 2 |
| 4183 | western | 2 |
| 4184 | belong | 2 |
| 4185 | pointed | 2 |
| 4186 | earliest | 2 |
| 4187 | leadership | 2 |
| 4188 | assurance | 2 |
| 4189 | curiosity | 2 |
| 4190 | laxiad | 2 |
| 4191 | noticing | 2 |
| 4192 | edinburgh | 2 |
| 4193 | disappears | 2 |
| 4194 | courier | 2 |
| 4195 | danger | 2 |
| 4196 | asia | 2 |
| 4197 | korea | 2 |
| 4198 | populate | 2 |
| 4199 | build | 2 |
| 4200 | ottawa | 2 |
| 4201 | unitedairlinessucks | 2 |
| 4202 | doo | 2 |
| 4203 | feces | 2 |
| 4204 | sprinkled | 2 |
| 4205 | monitoring | 2 |
| 4206 | unbelievably | 2 |
| 4207 | deciding | 2 |
| 4208 | redeye | 2 |
| 4209 | nonweather | 2 |
| 4210 | bangkok | 2 |
| 4211 | acknowledgment | 2 |
| 4212 | foreign | 2 |
| 4213 | airborne | 2 |
| 4214 | hack | 2 |
| 4215 | joker | 2 |
| 4216 | rage | 2 |
| 4217 | relaxing | 2 |
| 4218 | investigate | 2 |
| 4219 | parachuteguy | 2 |
| 4220 | cnnmoney | 2 |
| 4221 | tagged | 2 |
| 4222 | hurry | 2 |
| 4223 | stepped | 2 |
| 4224 | gpu | 2 |
| 4225 | stream | 2 |
| 4226 | travelocity | 2 |
| 4227 | suffering | 2 |
| 4228 | offensive | 2 |
| 4229 | legally | 2 |
| 4230 | blow | 2 |
| 4231 | rated | 2 |
| 4232 | msnbc | 2 |
| 4233 | skin | 2 |
| 4234 | horribleservice | 2 |
| 4235 | yow | 2 |
| 4236 | firstworldproblems | 2 |
| 4237 | refrain | 2 |
| 4238 | cnxn | 2 |
| 4239 | unlikely | 2 |
| 4240 | overheating | 2 |
| 4241 | dreamliner | 2 |
| 4242 | breakdown | 2 |
| 4243 | activity | 2 |
| 4244 | somewhat | 2 |
| 4245 | draft | 2 |
| 4246 | explaining | 2 |
| 4247 | capability | 2 |
| 4248 | context | 2 |
| 4249 | wcancelled | 2 |
| 4250 | connects | 2 |
| 4251 | irrops | 2 |
| 4252 | raised | 2 |
| 4253 | led | 2 |
| 4254 | blocking | 2 |
| 4255 | block | 2 |
| 4256 | mgr | 2 |
| 4257 | counted | 2 |
| 4258 | observe | 2 |
| 4259 | compensating | 2 |
| 4260 | deodorant | 2 |
| 4261 | shampoo | 2 |
| 4262 | prom | 2 |
| 4263 | flyerfriendly | 2 |
| 4264 | looong | 2 |
| 4265 | satisfactory | 2 |
| 4266 | rhonda | 2 |
| 4267 | filthy | 2 |
| 4268 | disinfectant | 2 |
| 4269 | wipe | 2 |
| 4270 | cldnt | 2 |
| 4271 | substitute | 2 |
| 4272 | developer | 2 |
| 4273 | morn | 2 |
| 4274 | huston | 2 |
| 4275 | troubling | 2 |
| 4276 | phenomenal | 2 |
| 4277 | royally | 2 |
| 4278 | doubtful | 2 |
| 4279 | covering | 2 |
| 4280 | humour | 2 |
| 4281 | pedro | 2 |
| 4282 | assure | 2 |
| 4283 | vp | 2 |
| 4284 | custexp | 2 |
| 4285 | ops | 2 |
| 4286 | meanwhile | 2 |
| 4287 | festivity | 2 |
| 4288 | makeup | 2 |
| 4289 | workforce | 2 |
| 4290 | nothin | 2 |
| 4291 | contains | 2 |
| 4292 | mite | 2 |
| 4293 | bite | 2 |
| 4294 | airnzusa | 2 |
| 4295 | earning | 2 |
| 4296 | outsourcing | 2 |
| 4297 | boeingairplanes | 2 |
| 4298 | frequentflyer | 2 |
| 4299 | jaclax | 2 |
| 4300 | afraid | 2 |
| 4301 | yuck | 2 |
| 4302 | inspected | 2 |
| 4303 | pita | 2 |
| 4304 | herman | 2 |
| 4305 | relayed | 2 |
| 4306 | satisfied | 2 |
| 4307 | bgm | 2 |
| 4308 | typically | 2 |
| 4309 | gluten | 2 |
| 4310 | rare | 2 |
| 4311 | gfc | 2 |
| 4312 | danahajek | 2 |
| 4313 | screenshot | 2 |
| 4314 | panamerican | 2 |
| 4315 | vicky | 2 |
| 4316 | brian | 2 |
| 4317 | liable | 2 |
| 4318 | arguing | 2 |
| 4319 | remaining | 2 |
| 4320 | wayne | 2 |
| 4321 | misinformation | 2 |
| 4322 | fwiw | 2 |
| 4323 | recognition | 2 |
| 4324 | flipped | 2 |
| 4325 | swiss | 2 |
| 4326 | significantly | 2 |
| 4327 | resend | 2 |
| 4328 | handy | 2 |
| 4329 | historical | 2 |
| 4330 | afterall | 2 |
| 4331 | mix | 2 |
| 4332 | clockwork | 2 |
| 4333 | battierccipuppy | 2 |
| 4334 | puppy | 2 |
| 4335 | nw | 2 |
| 4336 | skywest | 2 |
| 4337 | conection | 2 |
| 4338 | awesomeness | 2 |
| 4339 | conveyer | 2 |
| 4340 | unanticipated | 2 |
| 4341 | ed | 2 |
| 4342 | num | 2 |
| 4343 | partly | 2 |
| 4344 | followback | 2 |
| 4345 | reassign | 2 |
| 4346 | everybody | 2 |
| 4347 | slight | 2 |
| 4348 | sir | 2 |
| 4349 | contd | 2 |
| 4350 | trial | 2 |
| 4351 | wave | 2 |
| 4352 | chain | 2 |
| 4353 | naming | 2 |
| 4354 | unhappytraveler | 2 |
| 4355 | rolling | 2 |
| 4356 | tokyo | 2 |
| 4357 | motel | 2 |
| 4358 | lo | 2 |
| 4359 | cream | 2 |
| 4360 | standbye | 2 |
| 4361 | potential | 2 |
| 4362 | stocker | 2 |
| 4363 | waitlisted | 2 |
| 4364 | jim | 2 |
| 4365 | tshirt | 2 |
| 4366 | burn | 2 |
| 4367 | fo | 2 |
| 4368 | upgrd | 2 |
| 4369 | kat | 2 |
| 4370 | mouse | 2 |
| 4371 | ticked | 2 |
| 4372 | businessfirst | 2 |
| 4373 | rubber | 2 |
| 4374 | shrug | 2 |
| 4375 | education | 2 |
| 4376 | jam | 2 |
| 4377 | concentrate | 2 |
| 4378 | spite | 2 |
| 4379 | believing | 2 |
| 4380 | embraersa | 2 |
| 4381 | craft | 2 |
| 4382 | unitedfirst | 2 |
| 4383 | unsympathetic | 2 |
| 4384 | unitedappeals | 2 |
| 4385 | swapping | 2 |
| 4386 | char | 2 |
| 4387 | prebooked | 2 |
| 4388 | jenniferwalshpr | 2 |
| 4389 | dissatisfaction | 2 |
| 4390 | flow | 2 |
| 4391 | betting | 2 |
| 4392 | hd | 2 |
| 4393 | settle | 2 |
| 4394 | z | 2 |
| 4395 | thick | 2 |
| 4396 | slower | 2 |
| 4397 | capable | 2 |
| 4398 | overcharged | 2 |
| 4399 | complaining | 2 |
| 4400 | downgrading | 2 |
| 4401 | grouchy | 2 |
| 4402 | nap | 2 |
| 4403 | oregon | 2 |
| 4404 | reminds | 2 |
| 4405 | beforeafter | 2 |
| 4406 | youareonyourown | 2 |
| 4407 | logging | 2 |
| 4408 | antigua | 2 |
| 4409 | burbank | 2 |
| 4410 | prem | 2 |
| 4411 | rear | 2 |
| 4412 | abused | 2 |
| 4413 | iamtedking | 2 |
| 4414 | 2 | |
| 4415 | inquire | 2 |
| 4416 | ailing | 2 |
| 4417 | employer | 2 |
| 4418 | busiest | 2 |
| 4419 | expedient | 2 |
| 4420 | dispatcher | 2 |
| 4421 | il | 2 |
| 4422 | gogh | 2 |
| 4423 | relevant | 2 |
| 4424 | ramada | 2 |
| 4425 | angrycustomer | 2 |
| 4426 | beating | 2 |
| 4427 | hii | 2 |
| 4428 | wht | 2 |
| 4429 | appeared | 2 |
| 4430 | ruth | 2 |
| 4431 | rerouting | 2 |
| 4432 | rez | 2 |
| 4433 | abroad | 2 |
| 4434 | recap | 2 |
| 4435 | grab | 2 |
| 4436 | sue | 2 |
| 4437 | hoot | 2 |
| 4438 | turkish | 2 |
| 4439 | twin | 2 |
| 4440 | preparation | 2 |
| 4441 | breach | 2 |
| 4442 | fu | 2 |
| 4443 | despicable | 2 |
| 4444 | lookin | 2 |
| 4445 | thirty | 2 |
| 4446 | dmd | 2 |
| 4447 | professor | 2 |
| 4448 | negative | 2 |
| 4449 | loganairports | 2 |
| 4450 | remotely | 2 |
| 4451 | shenanigan | 2 |
| 4452 | helacohlc | 2 |
| 4453 | activitiesprevention | 2 |
| 4454 | condomrito | 2 |
| 4455 | familywe | 2 |
| 4456 | anchorage | 2 |
| 4457 | protected | 2 |
| 4458 | dominican | 2 |
| 4459 | sorta | 2 |
| 4460 | houstonbogota | 2 |
| 4461 | energy | 2 |
| 4462 | tkts | 2 |
| 4463 | began | 2 |
| 4464 | motion | 2 |
| 4465 | determined | 2 |
| 4466 | overpriced | 2 |
| 4467 | par | 2 |
| 4468 | overflowed | 2 |
| 4469 | luxurious | 2 |
| 4470 | explains | 2 |
| 4471 | includes | 2 |
| 4472 | creative | 2 |
| 4473 | beneficial | 2 |
| 4474 | burningman | 2 |
| 4475 | motto | 2 |
| 4476 | doc | 2 |
| 4477 | grown | 2 |
| 4478 | yard | 2 |
| 4479 | reduced | 2 |
| 4480 | amateurish | 2 |
| 4481 | customerexperience | 2 |
| 4482 | dispute | 2 |
| 4483 | increasing | 2 |
| 4484 | communicating | 2 |
| 4485 | scratching | 2 |
| 4486 | referral | 2 |
| 4487 | loud | 2 |
| 4488 | shuffle | 2 |
| 4489 | mailing | 2 |
| 4490 | structure | 2 |
| 4491 | dramatically | 2 |
| 4492 | ilchp | 2 |
| 4493 | atleast | 2 |
| 4494 | helpless | 2 |
| 4495 | upgd | 2 |
| 4496 | neworleans | 2 |
| 4497 | appalling | 2 |
| 4498 | miriam | 2 |
| 4499 | montego | 2 |
| 4500 | smf | 2 |
| 4501 | shoddy | 2 |
| 4502 | laurasbrown | 2 |
| 4503 | skateboard | 2 |
| 4504 | pgatour | 2 |
| 4505 | thparty | 2 |
| 4506 | itproblems | 2 |
| 4507 | associated | 2 |
| 4508 | flashlight | 2 |
| 4509 | neighbor | 2 |
| 4510 | smoking | 2 |
| 4511 | humiliating | 2 |
| 4512 | serf | 2 |
| 4513 | bourbon | 2 |
| 4514 | bold | 2 |
| 4515 | savethediagonals | 2 |
| 4516 | satisfaction | 2 |
| 4517 | born | 2 |
| 4518 | india | 2 |
| 4519 | ooh | 2 |
| 4520 | nofun | 2 |
| 4521 | alaskaair | 2 |
| 4522 | convinced | 2 |
| 4523 | qualifies | 2 |
| 4524 | amsterdam | 2 |
| 4525 | surrounding | 2 |
| 4526 | debating | 2 |
| 4527 | oc | 2 |
| 4528 | toiletry | 2 |
| 4529 | entree | 2 |
| 4530 | wandered | 2 |
| 4531 | pointing | 2 |
| 4532 | bizarre | 2 |
| 4533 | outage | 2 |
| 4534 | bandwidth | 2 |
| 4535 | fab | 2 |
| 4536 | delight | 2 |
| 4537 | swag | 2 |
| 4538 | incl | 2 |
| 4539 | overheard | 2 |
| 4540 | greater | 2 |
| 4541 | btwn | 2 |
| 4542 | torture | 2 |
| 4543 | heartbroken | 2 |
| 4544 | mp | 2 |
| 4545 | teaching | 2 |
| 4546 | research | 2 |
| 4547 | loooooong | 2 |
| 4548 | prev | 2 |
| 4549 | ding | 2 |
| 4550 | swell | 2 |
| 4551 | bestflightever | 2 |
| 4552 | approval | 2 |
| 4553 | perfectly | 2 |
| 4554 | vacay | 2 |
| 4555 | expiration | 2 |
| 4556 | magically | 2 |
| 4557 | solid | 2 |
| 4558 | length | 2 |
| 4559 | village | 2 |
| 4560 | carol | 2 |
| 4561 | marriott | 2 |
| 4562 | science | 2 |
| 4563 | largest | 2 |
| 4564 | career | 2 |
| 4565 | resource | 2 |
| 4566 | vineyard | 2 |
| 4567 | entrance | 2 |
| 4568 | hail | 2 |
| 4569 | badpolicy | 2 |
| 4570 | theft | 2 |
| 4571 | uncool | 2 |
| 4572 | filmjobnoequipment | 2 |
| 4573 | donate | 2 |
| 4574 | ann | 2 |
| 4575 | sweepstakes | 2 |
| 4576 | vinyl | 2 |
| 4577 | honesty | 2 |
| 4578 | stoked | 2 |
| 4579 | kelsey | 2 |
| 4580 | bellagio | 2 |
| 4581 | sport | 2 |
| 4582 | destinationdragon | 2 |
| 4583 | television | 2 |
| 4584 | prioritize | 2 |
| 4585 | dice | 2 |
| 4586 | hooking | 2 |
| 4587 | rudely | 2 |
| 4588 | genius | 2 |
| 4589 | purchaseerrorinvalid_loyalty_member_account_status | 2 |
| 4590 | dnt | 2 |
| 4591 | sld | 2 |
| 4592 | uxzj | 2 |
| 4593 | fri | 2 |
| 4594 | equip | 2 |
| 4595 | plow | 2 |
| 4596 | linking | 2 |
| 4597 | pleaseeee | 2 |
| 4598 | fron | 2 |
| 4599 | allergic | 2 |
| 4600 | ignores | 2 |
| 4601 | oil | 2 |
| 4602 | triple | 2 |
| 4603 | nwn | 2 |
| 4604 | soaking | 2 |
| 4605 | existence | 2 |
| 4606 | passive | 2 |
| 4607 | workaround | 2 |
| 4608 | knowledge | 2 |
| 4609 | wn | 2 |
| 4610 | flymidway | 2 |
| 4611 | alt | 2 |
| 4612 | inconsistent | 2 |
| 4613 | mate | 2 |
| 4614 | canx | 2 |
| 4615 | discontinued | 2 |
| 4616 | memorial | 2 |
| 4617 | combined | 2 |
| 4618 | subscribe | 2 |
| 4619 | slowing | 2 |
| 4620 | opposed | 2 |
| 4621 | chaotic | 2 |
| 4622 | smashed | 2 |
| 4623 | essential | 2 |
| 4624 | theacademy | 2 |
| 4625 | zoom | 2 |
| 4626 | boooo | 2 |
| 4627 | flyswa | 2 |
| 4628 | denverairport | 2 |
| 4629 | noexcuses | 2 |
| 4630 | seam | 2 |
| 4631 | justsaying | 2 |
| 4632 | arkansas | 2 |
| 4633 | tfw | 2 |
| 4634 | jimcramer | 2 |
| 4635 | orl | 2 |
| 4636 | iflyswa | 2 |
| 4637 | laughing | 2 |
| 4638 | diabetic | 2 |
| 4639 | grabbed | 2 |
| 4640 | poteettj | 2 |
| 4641 | talent | 2 |
| 4642 | tmadcle | 2 |
| 4643 | avon | 2 |
| 4644 | dcoadavon | 2 |
| 4645 | rating | 2 |
| 4646 | sanitizer | 2 |
| 4647 | blackhistorymonth | 2 |
| 4648 | recruiting | 2 |
| 4649 | internship | 2 |
| 4650 | bravo | 2 |
| 4651 | leinenkugels | 2 |
| 4652 | tn | 2 |
| 4653 | letdown | 2 |
| 4654 | forgiven | 2 |
| 4655 | ala | 2 |
| 4656 | wounded | 2 |
| 4657 | vet | 2 |
| 4658 | sooooo | 2 |
| 4659 | unorganized | 2 |
| 4660 | skip | 2 |
| 4661 | corner | 2 |
| 4662 | pleasehelp | 2 |
| 4663 | grandmother | 2 |
| 4664 | tld | 2 |
| 4665 | mouth | 2 |
| 4666 | kay | 2 |
| 4667 | nogood | 2 |
| 4668 | que | 2 |
| 4669 | invited | 2 |
| 4670 | cockpit | 2 |
| 4671 | tmw | 2 |
| 4672 | backroads | 2 |
| 4673 | olive | 2 |
| 4674 | pulse | 2 |
| 4675 | dale | 2 |
| 4676 | portcolumbuscmh | 2 |
| 4677 | waitin | 2 |
| 4678 | sally | 2 |
| 4679 | handing | 2 |
| 4680 | sleet | 2 |
| 4681 | clarence | 2 |
| 4682 | sanitized | 2 |
| 4683 | troubadour | 2 |
| 4684 | salted | 2 |
| 4685 | vote | 2 |
| 4686 | purely | 2 |
| 4687 | dultch | 2 |
| 4688 | horse | 2 |
| 4689 | intend | 2 |
| 4690 | graduate | 2 |
| 4691 | bless | 2 |
| 4692 | gal | 2 |
| 4693 | labor | 2 |
| 4694 | acknowledgement | 2 |
| 4695 | bestairlineever | 2 |
| 4696 | southwestverity | 2 |
| 4697 | luxury | 2 |
| 4698 | enforcing | 2 |
| 4699 | forfeited | 2 |
| 4700 | larry | 2 |
| 4701 | isp | 2 |
| 4702 | bestfriends | 2 |
| 4703 | repeating | 2 |
| 4704 | tarmack | 2 |
| 4705 | wx | 2 |
| 4706 | provo | 2 |
| 4707 | accommodated | 2 |
| 4708 | betsy | 2 |
| 4709 | besty | 2 |
| 4710 | memo | 2 |
| 4711 | nascar | 2 |
| 4712 | lined | 2 |
| 4713 | cattle | 2 |
| 4714 | michaelbcoleman | 2 |
| 4715 | eb | 2 |
| 4716 | perform | 2 |
| 4717 | gng | 2 |
| 4718 | execution | 2 |
| 4719 | nvm | 2 |
| 4720 | fairly | 2 |
| 4721 | became | 2 |
| 4722 | sammi_jons | 2 |
| 4723 | setting | 2 |
| 4724 | southwestrally | 2 |
| 4725 | bestemployees | 2 |
| 4726 | swaculture | 2 |
| 4727 | addressing | 2 |
| 4728 | singing | 2 |
| 4729 | reviewing | 2 |
| 4730 | rocking | 2 |
| 4731 | bwisjd | 2 |
| 4732 | hayleymad | 2 |
| 4733 | malfunctioning | 2 |
| 4734 | dialup | 2 |
| 4735 | childish | 2 |
| 4736 | remain | 2 |
| 4737 | yearly | 2 |
| 4738 | raving | 2 |
| 4739 | ctr | 2 |
| 4740 | intelligent | 2 |
| 4741 | enterprise | 2 |
| 4742 | thirty_lives | 2 |
| 4743 | thaw | 2 |
| 4744 | player | 2 |
| 4745 | aside | 2 |
| 4746 | ga | 2 |
| 4747 | knoxville | 2 |
| 4748 | monthly | 2 |
| 4749 | eligible | 2 |
| 4750 | chimid | 2 |
| 4751 | internjohnradio | 2 |
| 4752 | mrerickv | 2 |
| 4753 | beatsmusic | 2 |
| 4754 | personalized | 2 |
| 4755 | snapchat | 2 |
| 4756 | bicycle | 2 |
| 4757 | lane | 2 |
| 4758 | postcode | 2 |
| 4759 | ireland | 2 |
| 4760 | sing | 2 |
| 4761 | karajusto | 2 |
| 4762 | expedite | 2 |
| 4763 | vinylvegas | 2 |
| 4764 | announcing | 2 |
| 4765 | lem | 2 |
| 4766 | university | 2 |
| 4767 | craving | 2 |
| 4768 | jackass | 2 |
| 4769 | caribbean | 2 |
| 4770 | development | 2 |
| 4771 | forecasted | 2 |
| 4772 | cried | 2 |
| 4773 | trap | 2 |
| 4774 | displeased | 2 |
| 4775 | charger | 2 |
| 4776 | amazon | 2 |
| 4777 | plug | 2 |
| 4778 | unloaded | 2 |
| 4779 | emp | 2 |
| 4780 | wide | 2 |
| 4781 | phi | 2 |
| 4782 | 2 | |
| 4783 | bigger | 2 |
| 4784 | reopens | 2 |
| 4785 | swamped | 2 |
| 4786 | store | 2 |
| 4787 | spilled | 2 |
| 4788 | grade | 2 |
| 4789 | tul | 2 |
| 4790 | lodge | 2 |
| 4791 | unspecified | 2 |
| 4792 | guidance | 2 |
| 4793 | adjustment | 2 |
| 4794 | imma | 2 |
| 4795 | insight | 2 |
| 4796 | chart | 2 |
| 4797 | alleviate | 2 |
| 4798 | modification | 2 |
| 4799 | geg | 2 |
| 4800 | answerthephone | 2 |
| 4801 | jetbluebos | 2 |
| 4802 | george | 2 |
| 4803 | org | 2 |
| 4804 | formula | 2 |
| 4805 | jetbluecheeps | 2 |
| 4806 | natca | 2 |
| 4807 | county | 2 |
| 4808 | noplacelikehome | 2 |
| 4809 | setup | 2 |
| 4810 | maatkare | 2 |
| 4811 | syr | 2 |
| 4812 | comfortably | 2 |
| 4813 | lag | 2 |
| 4814 | establish | 2 |
| 4815 | rebooks | 2 |
| 4816 | thy | 2 |
| 4817 | redemption | 2 |
| 4818 | wut | 2 |
| 4819 | chip | 2 |
| 4820 | staring | 2 |
| 4821 | rectified | 2 |
| 4822 | brandssayingbae | 2 |
| 4823 | fustrated | 2 |
| 4824 | martysg | 2 |
| 4825 | bankruptcy | 2 |
| 4826 | laxnyc | 2 |
| 4827 | tweeter | 2 |
| 4828 | reconsidering | 2 |
| 4829 | donut | 2 |
| 4830 | drawing | 2 |
| 4831 | debit | 2 |
| 4832 | heel | 2 |
| 4833 | em | 2 |
| 4834 | environment | 2 |
| 4835 | attended | 2 |
| 4836 | sittin | 2 |
| 4837 | pure | 2 |
| 4838 | tim | 2 |
| 4839 | selfies | 2 |
| 4840 | measured | 2 |
| 4841 | ricoh | 2 |
| 4842 | blacklist | 2 |
| 4843 | emv | 2 |
| 4844 | younger | 2 |
| 4845 | sibling | 2 |
| 4846 | shannonwoodward | 2 |
| 4847 | reaction | 2 |
| 4848 | dissapointed | 2 |
| 4849 | bqn | 2 |
| 4850 | sj | 2 |
| 4851 | preciate | 2 |
| 4852 | essentially | 2 |
| 4853 | stair | 2 |
| 4854 | jetbluefail | 2 |
| 4855 | criminal | 2 |
| 4856 | bluecarpet | 2 |
| 4857 | perspective | 2 |
| 4858 | expressed | 2 |
| 4859 | hawaiian | 2 |
| 4860 | msbgu | 2 |
| 4861 | justify | 2 |
| 4862 | littlebirds | 2 |
| 4863 | newburgh | 2 |
| 4864 | alcohol | 2 |
| 4865 | league | 2 |
| 4866 | gracious | 2 |
| 4867 | umosaicmecrazy | 2 |
| 4868 | autoresponse | 2 |
| 4869 | lil | 2 |
| 4870 | ideal | 2 |
| 4871 | wat | 2 |
| 4872 | direction | 2 |
| 4873 | upstate | 2 |
| 4874 | scheme | 2 |
| 4875 | protection | 2 |
| 4876 | sylvie | 2 |
| 4877 | followup | 2 |
| 4878 | animal | 2 |
| 4879 | bumper | 2 |
| 4880 | engagement | 2 |
| 4881 | minimum | 2 |
| 4882 | pandora | 2 |
| 4883 | rum | 2 |
| 4884 | nhlonnbcsports | 2 |
| 4885 | goodcustomerservice | 2 |
| 4886 | morrow | 2 |
| 4887 | greatcustomerservice | 2 |
| 4888 | charles | 2 |
| 4889 | predicted | 2 |
| 4890 | warmer | 2 |
| 4891 | folding | 2 |
| 4892 | regularly | 2 |
| 4893 | earthquake | 2 |
| 4894 | paulgordonbrown | 2 |
| 4895 | analyst | 2 |
| 4896 | dakota | 2 |
| 4897 | vetr | 2 |
| 4898 | inc | 2 |
| 4899 | foolish | 2 |
| 4900 | barrier | 2 |
| 4901 | iata | 2 |
| 4902 | corevalues | 2 |
| 4903 | passion | 2 |
| 4904 | aerojobmarket | 2 |
| 4905 | nigga | 2 |
| 4906 | mideast | 2 |
| 4907 | bein | 2 |
| 4908 | lgb | 2 |
| 4909 | cal | 2 |
| 4910 | query | 2 |
| 4911 | burger | 2 |
| 4912 | lucia | 2 |
| 4913 | joe | 2 |
| 4914 | escape | 2 |
| 4915 | cheesy | 2 |
| 4916 | lay | 2 |
| 4917 | smart | 2 |
| 4918 | finder | 2 |
| 4919 | si | 2 |
| 4920 | dre | 2 |
| 4921 | princess | 2 |
| 4922 | truebluelove | 2 |
| 4923 | sleekmoney | 2 |
| 4924 | complainer | 2 |
| 4925 | bucket | 2 |
| 4926 | thevdt | 2 |
| 4927 | broadway | 2 |
| 4928 | ardent | 2 |
| 4929 | poughkeepsie | 2 |
| 4930 | wkrb | 2 |
| 4931 | havana | 2 |
| 4932 | slowest | 2 |
| 4933 | camp | 2 |
| 4934 | carsl | 2 |
| 4935 | jetblueblues | 2 |
| 4936 | anku | 2 |
| 4937 | capture | 2 |
| 4938 | ninadavuluri | 2 |
| 4939 | patronizing | 2 |
| 4940 | gangway | 2 |
| 4941 | heated | 2 |
| 4942 | disappoints | 2 |
| 4943 | doke | 2 |
| 4944 | legacy | 2 |
| 4945 | roll | 2 |
| 4946 | marked | 2 |
| 4947 | needcoffee | 2 |
| 4948 | rifle | 2 |
| 4949 | transferable | 2 |
| 4950 | bretharold | 2 |
| 4951 | brazil | 2 |
| 4952 | sexy | 2 |
| 4953 | closepwcs | 2 |
| 4954 | festival | 2 |
| 4955 | attendee | 2 |
| 4956 | pattonoswalt | 2 |
| 4957 | sand | 2 |
| 4958 | warrior | 2 |
| 4959 | skytrax | 2 |
| 4960 | sch | 2 |
| 4961 | ath | 2 |
| 4962 | postpone | 2 |
| 4963 | relief | 2 |
| 4964 | fool | 2 |
| 4965 | applicable | 2 |
| 4966 | engaging | 2 |
| 4967 | eight | 2 |
| 4968 | j_beatz | 2 |
| 4969 | susan | 2 |
| 4970 | depends | 2 |
| 4971 | hotter | 2 |
| 4972 | celebrates | 2 |
| 4973 | dump | 2 |
| 4974 | blumanity | 2 |
| 4975 | brushing | 2 |
| 4976 | applepay | 2 |
| 4977 | kate | 2 |
| 4978 | delicious | 2 |
| 4979 | participate | 2 |
| 4980 | accused | 2 |
| 4981 | warehouse | 2 |
| 4982 | becomes | 2 |
| 4983 | targeting | 2 |
| 4984 | delivering | 2 |
| 4985 | professorpaul | 2 |
| 4986 | tsapre | 2 |
| 4987 | printer | 2 |
| 4988 | oui | 2 |
| 4989 | quoting | 2 |
| 4990 | generated | 2 |
| 4991 | hint | 2 |
| 4992 | painted | 2 |
| 4993 | navy | 2 |
| 4994 | learning | 2 |
| 4995 | phd_mama_ | 2 |
| 4996 | realtime | 2 |
| 4997 | weighs | 2 |
| 4998 | chronicleherald | 2 |
| 4999 | deedee | 2 |
| 5000 | iowa | 2 |
| 5001 | diamond | 2 |
| 5002 | referred | 2 |
| 5003 | reverse | 2 |
| 5004 | spelling | 2 |
| 5005 | employ | 2 |
| 5006 | flaw | 2 |
| 5007 | insanity | 2 |
| 5008 | chkd | 2 |
| 5009 | flexibility | 2 |
| 5010 | flexible | 2 |
| 5011 | forfeit | 2 |
| 5012 | usairwayscom | 2 |
| 5013 | army | 2 |
| 5014 | shortcoming | 2 |
| 5015 | wrongfully | 2 |
| 5016 | weary | 2 |
| 5017 | transf | 2 |
| 5018 | dividendrewards | 2 |
| 5019 | dividendmiles | 2 |
| 5020 | cardholder | 2 |
| 5021 | established | 2 |
| 5022 | mitchell | 2 |
| 5023 | argue | 2 |
| 5024 | unmonitored | 2 |
| 5025 | rachel | 2 |
| 5026 | owes | 2 |
| 5027 | tammy | 2 |
| 5028 | jealous | 2 |
| 5029 | mel | 2 |
| 5030 | sticker | 2 |
| 5031 | endlessly | 2 |
| 5032 | gatwick | 2 |
| 5033 | publicity | 2 |
| 5034 | involve | 2 |
| 5035 | plot | 2 |
| 5036 | proactively | 2 |
| 5037 | thanku | 2 |
| 5038 | chosen | 2 |
| 5039 | ricdfw | 2 |
| 5040 | bora | 2 |
| 5041 | finnair | 2 |
| 5042 | madam | 2 |
| 5043 | affecting | 2 |
| 5044 | elaborate | 2 |
| 5045 | wannagohome | 2 |
| 5046 | differently | 2 |
| 5047 | russia | 2 |
| 5048 | inconsiderate | 2 |
| 5049 | phlmia | 2 |
| 5050 | managing | 2 |
| 5051 | offload | 2 |
| 5052 | instruction | 2 |
| 5053 | poorplanning | 2 |
| 5054 | southern | 2 |
| 5055 | sav | 2 |
| 5056 | transported | 2 |
| 5057 | lexington | 2 |
| 5058 | brokenpromises | 2 |
| 5059 | elm | 2 |
| 5060 | locating | 2 |
| 5061 | shameonyou | 2 |
| 5062 | preventing | 2 |
| 5063 | breath | 2 |
| 5064 | behave | 2 |
| 5065 | realistic | 2 |
| 5066 | nocrew | 2 |
| 5067 | claudoakeshott | 2 |
| 5068 | cha | 2 |
| 5069 | rivet | 2 |
| 5070 | overhaul | 2 |
| 5071 | josephtreis | 2 |
| 5072 | brush | 2 |
| 5073 | fm | 2 |
| 5074 | havoc | 2 |
| 5075 | aggravating | 2 |
| 5076 | overwhelming | 2 |
| 5077 | nburnside | 2 |
| 5078 | reaccommodation | 2 |
| 5079 | exercise | 2 |
| 5080 | miserably | 2 |
| 5081 | jabevan | 2 |
| 5082 | midght | 2 |
| 5083 | moines | 2 |
| 5084 | abandoned | 2 |
| 5085 | follower | 2 |
| 5086 | ow | 2 |
| 5087 | emerald | 2 |
| 5088 | dumped | 2 |
| 5089 | reagan_airport | 2 |
| 5090 | sys | 2 |
| 5091 | obj_ | 2 |
| 5092 | depending | 2 |
| 5093 | hve | 2 |
| 5094 | flght | 2 |
| 5095 | recorded | 2 |
| 5096 | usairwayssuck | 2 |
| 5097 | kentuckymbb | 2 |
| 5098 | tamara | 2 |
| 5099 | eagle | 2 |
| 5100 | aal | 2 |
| 5101 | dedicated | 2 |
| 5102 | represent | 2 |
| 5103 | quarter | 2 |
| 5104 | franchise | 2 |
| 5105 | prepare | 2 |
| 5106 | wasteoftime | 2 |
| 5107 | lawsuit | 2 |
| 5108 | stephenrodrick | 2 |
| 5109 | command | 2 |
| 5110 | jammed | 2 |
| 5111 | prepurchase | 2 |
| 5112 | freeze | 2 |
| 5113 | nrhodes | 2 |
| 5114 | bttr | 2 |
| 5115 | sync | 2 |
| 5116 | comms | 2 |
| 5117 | flightedflight | 2 |
| 5118 | yvonne | 2 |
| 5119 | burning | 2 |
| 5120 | nicedismissive | 2 |
| 5121 | thks | 2 |
| 5122 | scotch | 2 |
| 5123 | worstflight | 2 |
| 5124 | embarrassment | 2 |
| 5125 | occupied | 2 |
| 5126 | baggagelost | 2 |
| 5127 | fuk | 2 |
| 5128 | scattered | 2 |
| 5129 | backwards | 2 |
| 5130 | accts | 2 |
| 5131 | annettenaif | 2 |
| 5132 | roberto | 2 |
| 5133 | evenlate | 2 |
| 5134 | eliz | 2 |
| 5135 | myrtle | 2 |
| 5136 | tsaprecheck | 2 |
| 5137 | disconnection | 2 |
| 5138 | desired | 2 |
| 5139 | pity | 2 |
| 5140 | ignorant | 2 |
| 5141 | blizzard | 2 |
| 5142 | upsetting | 2 |
| 5143 | requiring | 2 |
| 5144 | spf | 2 |
| 5145 | itin | 2 |
| 5146 | fate | 2 |
| 5147 | shld | 2 |
| 5148 | eh | 2 |
| 5149 | versus | 2 |
| 5150 | uncalled | 2 |
| 5151 | gray | 2 |
| 5152 | hsv | 2 |
| 5153 | oy | 2 |
| 5154 | reactivate | 2 |
| 5155 | casimir | 2 |
| 5156 | nocareforcustomers | 2 |
| 5157 | mold | 2 |
| 5158 | filthyplane | 2 |
| 5159 | hopeidonotgetsick | 2 |
| 5160 | nexttimeiwillflysouthwest | 2 |
| 5161 | tpadfwlax | 2 |
| 5162 | lex | 2 |
| 5163 | xt | 2 |
| 5164 | faus | 2 |
| 5165 | prolonged | 2 |
| 5166 | prds | 2 |
| 5167 | chef | 2 |
| 5168 | miguel | 2 |
| 5169 | allende | 2 |
| 5170 | horriblewent | 2 |
| 5171 | flightno | 2 |
| 5172 | buttonthatcalled | 2 |
| 5173 | hungupnohelp | 2 |
| 5174 | andrew_wasila | 2 |
| 5175 | sma | 2 |
| 5176 | rollercoaster | 2 |
| 5177 | killeen | 2 |
| 5178 | wcustomer | 2 |
| 5179 | droped | 2 |
| 5180 | rwrd | 2 |
| 5181 | aano | 2 |
| 5182 | aadv | 2 |
| 5183 | narrowly | 2 |
| 5184 | pbpinftworth | 2 |
| 5185 | gb | 2 |
| 5186 | robertdwyer | 2 |
| 5187 | choppiest | 2 |
| 5188 | whiplash | 2 |
| 5189 | americanairlinesfail | 2 |
| 5190 | iwantmymoneyback | 2 |
| 5191 | reversed | 2 |
| 5192 | stuckinmemphis | 2 |
| 5193 | texasisclosed | 2 |
| 5194 | faves | 2 |
| 5195 | sheesh | 2 |
| 5196 | espinosa | 2 |
| 5197 | crated | 2 |
| 5198 | wouldbe | 2 |
| 5199 | painfully | 2 |
| 5200 | inexperienced | 2 |
| 5201 | paged | 2 |
| 5202 | spaced | 2 |
| 5203 | clarkey_ | 2 |
| 5204 | biggie | 2 |
| 5205 | itunesmusic | 2 |
| 5206 | spagnuolo | 2 |
| 5207 | coached | 2 |
| 5208 | ram | 2 |
| 5209 | night_ | 2 |
| 5210 | whammie | 2 |
| 5211 | robocalls | 2 |
| 5212 | onplane | 2 |
| 5213 | twitterdm | 2 |
| 5214 | origindestinationdates | 2 |
| 5215 | ordpvg | 2 |
| 5216 | arbitrary | 2 |
| 5217 | pafe | 2 |
| 5218 | aadfw | 2 |
| 5219 | amso | 2 |
| 5220 | trvlove | 2 |
| 5221 | boatstyle | 2 |
| 5222 | swivel | 2 |
| 5223 | dietcoke | 2 |
| 5224 | happyflier | 2 |
| 5225 | marshaled | 2 |
| 5226 | retired | 2 |
| 5227 | resoled | 2 |
| 5228 | kax | 2 |
| 5229 | beantownmatty | 2 |
| 5230 | grievance | 2 |
| 5231 | maria | 2 |
| 5232 | beanie | 2 |
| 5233 | lpalumbo | 2 |
| 5234 | laguardiaair | 2 |
| 5235 | diaper | 2 |
| 5236 | stilling | 2 |
| 5237 | souljacoy | 2 |
| 5238 | obscene | 2 |
| 5239 | acquisition | 2 |
| 5240 | nitrogen | 2 |
| 5241 | fligt | 2 |
| 5242 | cdg | 2 |
| 5243 | tyr | 2 |
| 5244 | outta | 2 |
| 5245 | superyan | 2 |
| 5246 | chasefoster | 2 |
| 5247 | cvgairport | 2 |
| 5248 | platitude | 2 |
| 5249 | embassy | 2 |
| 5250 | herndon | 2 |
| 5251 | tcf | 2 |
| 5252 | apologise | 2 |
| 5253 | swear | 2 |
| 5254 | earring | 2 |
| 5255 | dialogue | 2 |
| 5256 | clueless | 2 |
| 5257 | react | 2 |
| 5258 | gunna | 2 |
| 5259 | swu | 2 |
| 5260 | yikes | 2 |
| 5261 | nrosenb | 2 |
| 5262 | aafail | 2 |
| 5263 | rizzilient | 2 |
| 5264 | loop | 2 |
| 5265 | maryella_green | 2 |
| 5266 | shafted | 2 |
| 5267 | lima | 2 |
| 5268 | btr | 2 |
| 5269 | wudda | 2 |
| 5270 | nbc | 2 |
| 5271 | meelan | 2 |
| 5272 | chnge | 2 |
| 5273 | pn | 2 |
| 5274 | deflator | 2 |
| 5275 | chapter | 2 |
| 5276 | amm | 2 |
| 5277 | shawn | 2 |
| 5278 | orange | 2 |
| 5279 | lan | 2 |
| 5280 | lacked | 2 |
| 5281 | mxpjfk | 2 |
| 5282 | goingforgreat | 2 |
| 5283 | shortage | 2 |
| 5284 | numerical | 2 |
| 5285 | justynmoro | 2 |
| 5286 | automatic | 2 |
| 5287 | iberia | 2 |
| 5288 | skycap | 2 |
| 5289 | witnessed | 2 |
| 5290 | tisk | 2 |
| 5291 | dawn | 2 |
| 5292 | ggreenwald | 2 |
| 5293 | robinreda | 2 |
| 5294 | sample | 2 |
| 5295 | txfd | 2 |
| 5296 | centre | 2 |
| 5297 | sizer | 2 |
| 5298 | breeze | 2 |
| 5299 | cincinnati | 2 |
| 5300 | slcairport | 2 |
| 5301 | teco | 2 |
| 5302 | sa_craig | 2 |
| 5303 | travisamex | 2 |
| 5304 | refsd | 2 |
| 5305 | deane | 2 |
| 5306 | norma | 2 |
| 5307 | sedholm | 2 |
| 5308 | neglected | 2 |
| 5309 | dhepburn | 1 |
| 5310 | tacky | 1 |
| 5311 | worm | 1 |
| 5312 | parody | 1 |
| 5313 | notbut | 1 |
| 5314 | minimal | 1 |
| 5315 | iconography | 1 |
| 5316 | virginmedia | 1 |
| 5317 | seductive | 1 |
| 5318 | sfopdx | 1 |
| 5319 | daystogo | 1 |
| 5320 | bosfll | 1 |
| 5321 | hipster | 1 |
| 5322 | noair | 1 |
| 5323 | sfotobos | 1 |
| 5324 | noob | 1 |
| 5325 | sendambien | 1 |
| 5326 | andchexmix | 1 |
| 5327 | bked | 1 |
| 5328 | pacificbiznews | 1 |
| 5329 | moodlight | 1 |
| 5330 | calming | 1 |
| 5331 | freddieawards | 1 |
| 5332 | hollywood | 1 |
| 5333 | bid | 1 |
| 5334 | travelhelp | 1 |
| 5335 | elevategold | 1 |
| 5336 | tribute | 1 |
| 5337 | soundofmusic | 1 |
| 5338 | guiltypleasures | 1 |
| 5339 | martin | 1 |
| 5340 | heyyyy | 1 |
| 5341 | guyyyys | 1 |
| 5342 | travelzoo | 1 |
| 5343 | loft | 1 |
| 5344 | cmfatfeet | 1 |
| 5345 | ratepolicy | 1 |
| 5346 | doom | 1 |
| 5347 | supp | 1 |
| 5348 | flightattendant | 1 |
| 5349 | dreampath | 1 |
| 5350 | begrudgingly | 1 |
| 5351 | neverflyvirgin | 1 |
| 5352 | avatar | 1 |
| 5353 | disproportionate | 1 |
| 5354 | jperhi | 1 |
| 5355 | helpva | 1 |
| 5356 | rnp | 1 |
| 5357 | nomorevirgin | 1 |
| 5358 | redesign | 1 |
| 5359 | ressie | 1 |
| 5360 | raeann | 1 |
| 5361 | reluctant | 1 |
| 5362 | pleasecomeback | 1 |
| 5363 | oneasy | 1 |
| 5364 | naelah | 1 |
| 5365 | frontend | 1 |
| 5366 | backend | 1 |
| 5367 | built | 1 |
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| 5369 | nycjfk | 1 |
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| 6791 | keepitclassy | 1 |
| 6792 | bragged | 1 |
| 6793 | robbogart | 1 |
| 6794 | fib | 1 |
| 6795 | vanished | 1 |
| 6796 | idaho | 1 |
| 6797 | hournever | 1 |
| 6798 | anna | 1 |
| 6799 | alerted | 1 |
| 6800 | showsomerespect | 1 |
| 6801 | wcomputer | 1 |
| 6802 | nawww | 1 |
| 6803 | formed | 1 |
| 6804 | fraif | 1 |
| 6805 | ordsfo | 1 |
| 6806 | abcdef | 1 |
| 6807 | tolerable | 1 |
| 6808 | lastflightofthenight | 1 |
| 6809 | breakup | 1 |
| 6810 | dpted | 1 |
| 6811 | whatstatus | 1 |
| 6812 | spooky | 1 |
| 6813 | spook | 1 |
| 6814 | scare | 1 |
| 6815 | aweful | 1 |
| 6816 | waitingforbags | 1 |
| 6817 | sidewhy | 1 |
| 6818 | tiredcustomer | 1 |
| 6819 | dmbshows | 1 |
| 6820 | hiltonworldwide | 1 |
| 6821 | caravannyc | 1 |
| 6822 | maysvillenyc | 1 |
| 6823 | nycas | 1 |
| 6824 | assumed | 1 |
| 6825 | alb | 1 |
| 6826 | multicity | 1 |
| 6827 | ump | 1 |
| 6828 | lugging | 1 |
| 6829 | justgetmehome | 1 |
| 6830 | sbn | 1 |
| 6831 | lgjwb | 1 |
| 6832 | voluntarily | 1 |
| 6833 | gc | 1 |
| 6834 | roanoke | 1 |
| 6835 | sou | 1 |
| 6836 | doumented | 1 |
| 6837 | crucial | 1 |
| 6838 | youragentshavenoclue | 1 |
| 6839 | lon | 1 |
| 6840 | pointsmileage | 1 |
| 6841 | illiterate | 1 |
| 6842 | airlineguys | 1 |
| 6843 | msn | 1 |
| 6844 | rx | 1 |
| 6845 | eyeglass | 1 |
| 6846 | robcnyc | 1 |
| 6847 | substantial | 1 |
| 6848 | demonstration | 1 |
| 6849 | corny | 1 |
| 6850 | daysofunitedfailures | 1 |
| 6851 | thingafteranother | 1 |
| 6852 | labyrinth | 1 |
| 6853 | swindle | 1 |
| 6854 | accomidating | 1 |
| 6855 | qro | 1 |
| 6856 | alwaysdelayed | 1 |
| 6857 | amt | 1 |
| 6858 | impatience | 1 |
| 6859 | untruthful | 1 |
| 6860 | underserved | 1 |
| 6861 | sonyasloanmd | 1 |
| 6862 | comedian | 1 |
| 6863 | stage | 1 |
| 6864 | reboard | 1 |
| 6865 | duecto | 1 |
| 6866 | willl | 1 |
| 6867 | aok | 1 |
| 6868 | snowforce | 1 |
| 6869 | hoo | 1 |
| 6870 | grow | 1 |
| 6871 | bwood | 1 |
| 6872 | surveying | 1 |
| 6873 | nudgenudge | 1 |
| 6874 | vocab | 1 |
| 6875 | donna | 1 |
| 6876 | club_ | 1 |
| 6877 | interrogated | 1 |
| 6878 | poorform | 1 |
| 6879 | thatisall | 1 |
| 6880 | boozefood | 1 |
| 6881 | golfunited | 1 |
| 6882 | installed | 1 |
| 6883 | possiable | 1 |
| 6884 | schiphol | 1 |
| 6885 | outin | 1 |
| 6886 | func | 1 |
| 6887 | fedex | 1 |
| 6888 | flightflew | 1 |
| 6889 | lgacleden | 1 |
| 6890 | byod | 1 |
| 6891 | worksnicely | 1 |
| 6892 | subsequently | 1 |
| 6893 | planehow | 1 |
| 6894 | tennis | 1 |
| 6895 | bossf | 1 |
| 6896 | flexibilitycompassion | 1 |
| 6897 | cantlogoutofunitedwifi | 1 |
| 6898 | logout | 1 |
| 6899 | saddened | 1 |
| 6900 | fcking | 1 |
| 6901 | inchecking | 1 |
| 6902 | netherlands | 1 |
| 6903 | extravaganza | 1 |
| 6904 | ec | 1 |
| 6905 | deaffriendly | 1 |
| 6906 | weighed | 1 |
| 6907 | hime | 1 |
| 6908 | estellevw | 1 |
| 6909 | autoapplied | 1 |
| 6910 | syastem | 1 |
| 6911 | keepusguessing | 1 |
| 6912 | isthisyourfirsttry | 1 |
| 6913 | km | 1 |
| 6914 | ham | 1 |
| 6915 | cabine | 1 |
| 6916 | fsqthg | 1 |
| 6917 | therealaviation | 1 |
| 6918 | heartless | 1 |
| 6919 | lacking | 1 |
| 6920 | interrupted | 1 |
| 6921 | definately | 1 |
| 6922 | trafficfuel | 1 |
| 6923 | joni | 1 |
| 6924 | baggagefind | 1 |
| 6925 | orthodoc | 1 |
| 6926 | oncall | 1 |
| 6927 | regains | 1 |
| 6928 | karma | 1 |
| 6929 | sweaty | 1 |
| 6930 | supported | 1 |
| 6931 | centerl | 1 |
| 6932 | tokyonarita | 1 |
| 6933 | sitter | 1 |
| 6934 | earlyon | 1 |
| 6935 | wellplayed | 1 |
| 6936 | jokesonus | 1 |
| 6937 | rechecked | 1 |
| 6938 | uncvsduke | 1 |
| 6939 | areyounew | 1 |
| 6940 | nonumber | 1 |
| 6941 | feeltheheat | 1 |
| 6942 | ritz | 1 |
| 6943 | kidnapped | 1 |
| 6944 | siteapp | 1 |
| 6945 | sellout | 1 |
| 6946 | obsolete | 1 |
| 6947 | boarddeplane | 1 |
| 6948 | unitedairlinessuck | 1 |
| 6949 | customary | 1 |
| 6950 | spends | 1 |
| 6951 | randomactsofcorporategreed | 1 |
| 6952 | ridiculousor | 1 |
| 6953 | refundplease | 1 |
| 6954 | milage | 1 |
| 6955 | idnumber | 1 |
| 6956 | hopetogetanswersoon | 1 |
| 6957 | airporthave | 1 |
| 6958 | medallion | 1 |
| 6959 | probablynot | 1 |
| 6960 | thinkdo | 1 |
| 6961 | hotelstonight | 1 |
| 6962 | startingbloc | 1 |
| 6963 | monica | 1 |
| 6964 | unitedfails | 1 |
| 6965 | worsttripofmylife | 1 |
| 6966 | unitedflyerhd | 1 |
| 6967 | united_airline | 1 |
| 6968 | bfans | 1 |
| 6969 | anotherdisappointment | 1 |
| 6970 | ralph | 1 |
| 6971 | nader | 1 |
| 6972 | discouraging | 1 |
| 6973 | koalax | 1 |
| 6974 | thier | 1 |
| 6975 | inst | 1 |
| 6976 | threat | 1 |
| 6977 | belligerent | 1 |
| 6978 | ranting | 1 |
| 6979 | aaron | 1 |
| 6980 | tellpurchase | 1 |
| 6981 | whiskey | 1 |
| 6982 | blacked | 1 |
| 6983 | lifesaver | 1 |
| 6984 | kmm | 1 |
| 6985 | beought | 1 |
| 6986 | unexpactable | 1 |
| 6987 | ecom | 1 |
| 6988 | conflict | 1 |
| 6989 | erased | 1 |
| 6990 | christinebpc | 1 |
| 6991 | shin | 1 |
| 6992 | sprinting | 1 |
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| 6994 | exam | 1 |
| 6995 | dcaewr | 1 |
| 6996 | pac | 1 |
| 6997 | missin | 1 |
| 6998 | vusa_australia | 1 |
| 6999 | aussie | 1 |
| 7000 | cowgirl | 1 |
| 7001 | cowboy | 1 |
| 7002 | estelle | 1 |
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| 7009 | auckland | 1 |
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| 7012 | vibrant | 1 |
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| 7016 | amypoehler | 1 |
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| 7018 | simplify | 1 |
| 7019 | lhrt | 1 |
| 7020 | yyzua | 1 |
| 7021 | repurchased | 1 |
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| 7025 | leah | 1 |
| 7026 | kerry | 1 |
| 7027 | ebokeers | 1 |
| 7028 | cdt | 1 |
| 7029 | tickethotel | 1 |
| 7030 | delayedover | 1 |
| 7031 | airside | 1 |
| 7032 | atlhou | 1 |
| 7033 | fairbanks | 1 |
| 7034 | ewrmco | 1 |
| 7035 | reupgrade | 1 |
| 7036 | itsaaronchriz | 1 |
| 7037 | aquadilla | 1 |
| 7038 | parryaftab | 1 |
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| 7040 | pty | 1 |
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| 7044 | homefamily | 1 |
| 7045 | weigh | 1 |
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| 7050 | lly | 1 |
| 7051 | stacey | 1 |
| 7052 | detailsno | 1 |
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| 7064 | ypu | 1 |
| 7065 | qlyss | 1 |
| 7066 | noodle | 1 |
| 7067 | pea | 1 |
| 7068 | zukes | 1 |
| 7069 | nonvegan | 1 |
| 7070 | yogurt | 1 |
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| 7075 | shoulda | 1 |
| 7076 | thor | 1 |
| 7077 | idonotcare | 1 |
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| 7079 | churchmouse | 1 |
| 7080 | sailed | 1 |
| 7081 | mli | 1 |
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| 7083 | fay | 1 |
| 7084 | heathrownewark | 1 |
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| 7088 | margo | 1 |
| 7089 | intercontinental | 1 |
| 7090 | reduction | 1 |
| 7091 | exhorbitantfees | 1 |
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| 7094 | shulemstern | 1 |
| 7095 | ftlauderdalesun | 1 |
| 7096 | orlandosentinel | 1 |
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| 7099 | inner | 1 |
| 7100 | lowstandards | 1 |
| 7101 | annnnddddd | 1 |
| 7102 | trade | 1 |
| 7103 | sunkist | 1 |
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| 7105 | bypass | 1 |
| 7106 | locally | 1 |
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| 7110 | monopoly | 1 |
| 7111 | doesntfeellikestatusyet | 1 |
| 7112 | inflexible | 1 |
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| 7115 | iatanbul | 1 |
| 7116 | suggests | 1 |
| 7117 | diminishes | 1 |
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| 7119 | tvu | 1 |
| 7120 | deter | 1 |
| 7121 | latter | 1 |
| 7122 | ridic | 1 |
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| 7125 | pepperidge | 1 |
| 7126 | farm | 1 |
| 7127 | daysofhell | 1 |
| 7128 | cbcallinaday | 1 |
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| 7131 | rjs | 1 |
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| 7138 | harris | 1 |
| 7139 | circulation | 1 |
| 7140 | mkwlkr | 1 |
| 7141 | ansleyhutson | 1 |
| 7142 | emily_donneiiy | 1 |
| 7143 | expressing | 1 |
| 7144 | consoled | 1 |
| 7145 | sfodfw | 1 |
| 7146 | sfoord | 1 |
| 7147 | waspaid | 1 |
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| 7150 | coltsmissingbags | 1 |
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| 7153 | breathe | 1 |
| 7154 | borderline | 1 |
| 7155 | letsworktogether | 1 |
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| 7157 | staffcust | 1 |
| 7158 | lgaord | 1 |
| 7159 | unempathetic | 1 |
| 7160 | fulldo | 1 |
| 7161 | pri | 1 |
| 7162 | opsec | 1 |
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| 7164 | master | 1 |
| 7165 | aircargo | 1 |
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| 7167 | whatsoever | 1 |
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| 7176 | swimsuit | 1 |
| 7177 | competitively | 1 |
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| 7180 | addr | 1 |
| 7181 | signin | 1 |
| 7182 | dxb | 1 |
| 7183 | sime | 1 |
| 7184 | noapology | 1 |
| 7185 | restructured | 1 |
| 7186 | brotha | 1 |
| 7187 | multiplier | 1 |
| 7188 | teleportation | 1 |
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| 7190 | cigarette | 1 |
| 7191 | prohibits | 1 |
| 7192 | stonewalled | 1 |
| 7193 | colliding | 1 |
| 7194 | wontflyagainwithyou | 1 |
| 7195 | isolate | 1 |
| 7196 | mtn | 1 |
| 7197 | ritacomo | 1 |
| 7198 | understandably | 1 |
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| 7200 | chipper | 1 |
| 7201 | ser | 1 |
| 7202 | chatting | 1 |
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| 7205 | stewart | 1 |
| 7206 | amid | 1 |
| 7207 | ewrlax | 1 |
| 7208 | seatarmrest | 1 |
| 7209 | fullfa | 1 |
| 7210 | dadboner | 1 |
| 7211 | boldflavors | 1 |
| 7212 | flavor | 1 |
| 7213 | ingredient | 1 |
| 7214 | csfail | 1 |
| 7215 | milageplus | 1 |
| 7216 | shady | 1 |
| 7217 | undetermined | 1 |
| 7218 | flyquiet | 1 |
| 7219 | ordnoise | 1 |
| 7220 | cyndi | 1 |
| 7221 | troy | 1 |
| 7222 | superben | 1 |
| 7223 | glance | 1 |
| 7224 | starboard | 1 |
| 7225 | reinstating | 1 |
| 7226 | kosher | 1 |
| 7227 | laxwhen | 1 |
| 7228 | upfare | 1 |
| 7229 | considerably | 1 |
| 7230 | wise | 1 |
| 7231 | cheeze | 1 |
| 7232 | jilted | 1 |
| 7233 | moneyelsewhere | 1 |
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| 7235 | ezee | 1 |
| 7236 | wilson | 1 |
| 7237 | pvdiad | 1 |
| 7238 | overcarry | 1 |
| 7239 | igiveup | 1 |
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| 7243 | vary | 1 |
| 7244 | el_ingeniero | 1 |
| 7245 | ito | 1 |
| 7246 | firing | 1 |
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| 7248 | elizabeth | 1 |
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| 7250 | doublestandards | 1 |
| 7251 | travelingwithsmallkids | 1 |
| 7252 | sendingposting | 1 |
| 7253 | jetbridge | 1 |
| 7254 | passenegers | 1 |
| 7255 | allright | 1 |
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| 7258 | recheduled | 1 |
| 7259 | carerespond | 1 |
| 7260 | resending | 1 |
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| 7264 | firm | 1 |
| 7265 | batman | 1 |
| 7266 | insanely | 1 |
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| 7268 | mrandyep | 1 |
| 7269 | albeit | 1 |
| 7270 | tissue | 1 |
| 7271 | programhorrible | 1 |
| 7272 | buytransfer | 1 |
| 7273 | milesthe | 1 |
| 7274 | nonetheless | 1 |
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| 7276 | audition | 1 |
| 7277 | quiche | 1 |
| 7278 | tandoori | 1 |
| 7279 | accompaniment | 1 |
| 7280 | equipped | 1 |
| 7281 | txting | 1 |
| 7282 | junkspam | 1 |
| 7283 | pittsburg | 1 |
| 7284 | untrained | 1 |
| 7285 | crossing | 1 |
| 7286 | whispering | 1 |
| 7287 | bitty | 1 |
| 7288 | flightmarch | 1 |
| 7289 | acquire | 1 |
| 7290 | brokeni | 1 |
| 7291 | userperceived | 1 |
| 7292 | flightncy | 1 |
| 7293 | phlord | 1 |
| 7294 | blegh | 1 |
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| 7297 | edition | 1 |
| 7298 | njvbp | 1 |
| 7299 | brandi | 1 |
| 7300 | zabsonre | 1 |
| 7301 | farmington | 1 |
| 7302 | slope | 1 |
| 7303 | rajuchinthala | 1 |
| 7304 | feck | 1 |
| 7305 | flyana_official | 1 |
| 7306 | transpacific | 1 |
| 7307 | selfinterest | 1 |
| 7308 | casleah | 1 |
| 7309 | jsumiyasu | 1 |
| 7310 | gist | 1 |
| 7311 | indicating | 1 |
| 7312 | aback | 1 |
| 7313 | squarely | 1 |
| 7314 | timenot | 1 |
| 7315 | cockup | 1 |
| 7316 | ijustwanttosleep | 1 |
| 7317 | proficient | 1 |
| 7318 | iahhnl | 1 |
| 7319 | reactive | 1 |
| 7320 | juice | 1 |
| 7321 | getphilz | 1 |
| 7322 | mot | 1 |
| 7323 | clusterfucks | 1 |
| 7324 | moar | 1 |
| 7325 | bully | 1 |
| 7326 | mentality | 1 |
| 7327 | fostering | 1 |
| 7328 | inspiration | 1 |
| 7329 | employeerelations | 1 |
| 7330 | crape | 1 |
| 7331 | biscuit | 1 |
| 7332 | sentimental | 1 |
| 7333 | flightsairports | 1 |
| 7334 | bwiewrmco | 1 |
| 7335 | connetion | 1 |
| 7336 | sr | 1 |
| 7337 | servicecare | 1 |
| 7338 | prompted | 1 |
| 7339 | glassdoor | 1 |
| 7340 | snagging | 1 |
| 7341 | notsurprising | 1 |
| 7342 | luvthem | 1 |
| 7343 | leverage | 1 |
| 7344 | meagan | 1 |
| 7345 | fouty | 1 |
| 7346 | brancato | 1 |
| 7347 | wkids | 1 |
| 7348 | parentsonboard | 1 |
| 7349 | chromefirefox | 1 |
| 7350 | midwaychicago | 1 |
| 7351 | thapril | 1 |
| 7352 | flypbi | 1 |
| 7353 | logically | 1 |
| 7354 | altonbrownlive | 1 |
| 7355 | sohappy | 1 |
| 7356 | unfollow | 1 |
| 7357 | flyfrontier | 1 |
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| 7359 | auction | 1 |
| 7360 | postmaster | 1 |
| 7361 | invitational | 1 |
| 7362 | throwback | 1 |
| 7363 | heavenlychc | 1 |
| 7364 | flyaway | 1 |
| 7365 | newsbusiness | 1 |
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| 7367 | onlinewas | 1 |
| 7368 | fml | 1 |
| 7369 | teyana | 1 |
| 7370 | medusafridays | 1 |
| 7371 | themenofbusiness | 1 |
| 7372 | playa | 1 |
| 7373 | carmen | 1 |
| 7374 | christine | 1 |
| 7375 | mx | 1 |
| 7376 | dignity | 1 |
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| 7378 | baitandswitch | 1 |
| 7379 | chibuf | 1 |
| 7380 | barelyexpired | 1 |
| 7381 | rapidrewards | 1 |
| 7382 | lasttweetaboutthis | 1 |
| 7383 | groupa | 1 |
| 7384 | portal | 1 |
| 7385 | reverted | 1 |
| 7386 | flightsdelays | 1 |
| 7387 | rolemodel | 1 |
| 7388 | barzegar | 1 |
| 7389 | euro | 1 |
| 7390 | tent | 1 |
| 7391 | chantilly | 1 |
| 7392 | vacationfail | 1 |
| 7393 | frozenwater | 1 |
| 7394 | gettingimpatient | 1 |
| 7395 | theycouldatleastofferfreebooze | 1 |
| 7396 | thrower | 1 |
| 7397 | venetia | 1 |
| 7398 | crook | 1 |
| 7399 | oyu | 1 |
| 7400 | strives | 1 |
| 7401 | centric | 1 |
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| 7404 | sledge | 1 |
| 7405 | hammer | 1 |
| 7406 | scalpel | 1 |
| 7407 | bible | 1 |
| 7408 | vipliveinthevieyard | 1 |
| 7409 | intuit | 1 |
| 7410 | jhamilton | 1 |
| 7411 | intuitlife | 1 |
| 7412 | leanin | 1 |
| 7413 | reboarding | 1 |
| 7414 | kta | 1 |
| 7415 | vip | 1 |
| 7416 | oscarworthy | 1 |
| 7417 | happycamper | 1 |
| 7418 | ellamae | 1 |
| 7419 | penguin | 1 |
| 7420 | kevinswan_ | 1 |
| 7421 | alstdi | 1 |
| 7422 | a_life_story_ | 1 |
| 7423 | smoooothest | 1 |
| 7424 | southwestsmoothie | 1 |
| 7425 | stepup | 1 |
| 7426 | makeitright | 1 |
| 7427 | wewillsee | 1 |
| 7428 | sol | 1 |
| 7429 | rap | 1 |
| 7430 | partnerrewards | 1 |
| 7431 | evolved | 1 |
| 7432 | aimed | 1 |
| 7433 | satisfy | 1 |
| 7434 | nanosmattering | 1 |
| 7435 | etd | 1 |
| 7436 | sauna | 1 |
| 7437 | buisness | 1 |
| 7438 | schoolgirl | 1 |
| 7439 | typing | 1 |
| 7440 | bagsflyfree | 1 |
| 7441 | cheatcustomers | 1 |
| 7442 | mugged | 1 |
| 7443 | wrongiswrong | 1 |
| 7444 | badbussiness | 1 |
| 7445 | terribleno | 1 |
| 7446 | arehis | 1 |
| 7447 | poc | 1 |
| 7448 | nowarmclothes | 1 |
| 7449 | tus | 1 |
| 7450 | lostbags | 1 |
| 7451 | c_istudios | 1 |
| 7452 | youdidit | 1 |
| 7453 | higgs | 1 |
| 7454 | boson | 1 |
| 7455 | thebachelor | 1 |
| 7456 | wah | 1 |
| 7457 | floridavacation | 1 |
| 7458 | smoothflight | 1 |
| 7459 | flutter | 1 |
| 7460 | fullprice | 1 |
| 7461 | bethonors | 1 |
| 7462 | honorable | 1 |
| 7463 | economic | 1 |
| 7464 | cdn | 1 |
| 7465 | customerappreciation | 1 |
| 7466 | gaincustomers | 1 |
| 7467 | keepem | 1 |
| 7468 | lovedflyingwiththem | 1 |
| 7469 | notanymore | 1 |
| 7470 | lubbock | 1 |
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| 7472 | crooked | 1 |
| 7473 | shouldwearmasks | 1 |
| 7474 | fneqm | 1 |
| 7475 | lou | 1 |
| 7476 | ourguest | 1 |
| 7477 | enrolled | 1 |
| 7478 | katie | 1 |
| 7479 | canthurtasking | 1 |
| 7480 | nutsaboutsouthwest | 1 |
| 7481 | brooding | 1 |
| 7482 | monkey | 1 |
| 7483 | mdwmci | 1 |
| 7484 | homeandreadyfornexttrip | 1 |
| 7485 | satisfactorily | 1 |
| 7486 | justsayin | 1 |
| 7487 | genuinely | 1 |
| 7488 | comparable | 1 |
| 7489 | shittydeal | 1 |
| 7490 | taylorlumsden | 1 |
| 7491 | responsiveness | 1 |
| 7492 | escaping | 1 |
| 7493 | maltese | 1 |
| 7494 | mdwfll | 1 |
| 7495 | meanit | 1 |
| 7496 | improving | 1 |
| 7497 | fuyukaidesuyo | 1 |
| 7498 | hugeeeee | 1 |
| 7499 | evennotified | 1 |
| 7500 | theflight | 1 |
| 7501 | isdelayed | 1 |
| 7502 | emailtextphone | 1 |
| 7503 | callif | 1 |
| 7504 | wererunning | 1 |
| 7505 | chemistry | 1 |
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| 8215 | ubergizmo | 1 |
| 8216 | courtney | 1 |
| 8217 | lgabwi | 1 |
| 8218 | anni | 1 |
| 8219 | jamesasworth | 1 |
| 8220 | brent | 1 |
| 8221 | additonal | 1 |
| 8222 | cantblametheweather | 1 |
| 8223 | mhtforlife | 1 |
| 8224 | brendanpshannon | 1 |
| 8225 | brendan | 1 |
| 8226 | kindly | 1 |
| 8227 | straying | 1 |
| 8228 | thingsishouldknow | 1 |
| 8229 | ifeeldumb | 1 |
| 8230 | roadtrip | 1 |
| 8231 | pastmypatienceexpirationdate | 1 |
| 8232 | inclusion | 1 |
| 8233 | popping | 1 |
| 8234 | ohing | 1 |
| 8235 | kirkwoodtiger | 1 |
| 8236 | ld | 1 |
| 8237 | saysorrychris | 1 |
| 8238 | customerservicewin | 1 |
| 8239 | itravelalot | 1 |
| 8240 | government | 1 |
| 8241 | companionpasses | 1 |
| 8242 | residing | 1 |
| 8243 | compete | 1 |
| 8244 | fuckinf | 1 |
| 8245 | sht | 1 |
| 8246 | deltanews | 1 |
| 8247 | screakjmf | 1 |
| 8248 | emerging | 1 |
| 8249 | leader | 1 |
| 8250 | pv | 1 |
| 8251 | lovesouthwest | 1 |
| 8252 | mybday | 1 |
| 8253 | sagerooski | 1 |
| 8254 | undignified | 1 |
| 8255 | freedrinkcoupons | 1 |
| 8256 | mltple | 1 |
| 8257 | pmcan | 1 |
| 8258 | jaxbna | 1 |
| 8259 | notokay | 1 |
| 8260 | lastly | 1 |
| 8261 | balt | 1 |
| 8262 | vomited | 1 |
| 8263 | caroline | 1 |
| 8264 | superhero | 1 |
| 8265 | bnasnow | 1 |
| 8266 | astounded | 1 |
| 8267 | contempt | 1 |
| 8268 | purse | 1 |
| 8269 | wendell | 1 |
| 8270 | holton | 1 |
| 8271 | secondly | 1 |
| 8272 | packingayak | 1 |
| 8273 | brianregancomic | 1 |
| 8274 | cockroach | 1 |
| 8275 | crawling | 1 |
| 8276 | fsve | 1 |
| 8277 | deltapoints | 1 |
| 8278 | policyfees | 1 |
| 8279 | devotedyyours | 1 |
| 8280 | nl | 1 |
| 8281 | nhl | 1 |
| 8282 | arena | 1 |
| 8283 | smusportmgt | 1 |
| 8284 | sportsbiz | 1 |
| 8285 | closetoverhead | 1 |
| 8286 | cakairport | 1 |
| 8287 | octavia | 1 |
| 8288 | downnnnn | 1 |
| 8289 | courtsnod | 1 |
| 8290 | hillaconlin | 1 |
| 8291 | solar | 1 |
| 8292 | changer | 1 |
| 8293 | usb | 1 |
| 8294 | fla | 1 |
| 8295 | tinaisback | 1 |
| 8296 | neveind | 1 |
| 8297 | modelodenegocio | 1 |
| 8298 | innovacion | 1 |
| 8299 | businessmodel | 1 |
| 8300 | flightchecked | 1 |
| 8301 | johnwayneair | 1 |
| 8302 | divadapouch | 1 |
| 8303 | thepoopqueen | 1 |
| 8304 | wonderfully | 1 |
| 8305 | yesnot | 1 |
| 8306 | reload | 1 |
| 8307 | freecomedyshow | 1 |
| 8308 | newlifetimecustomer | 1 |
| 8309 | engadget | 1 |
| 8310 | theverge | 1 |
| 8311 | wired | 1 |
| 8312 | iusedtoloveu | 1 |
| 8313 | emerg | 1 |
| 8314 | erw | 1 |
| 8315 | commit | 1 |
| 8316 | kiss | 1 |
| 8317 | snacksthank | 1 |
| 8318 | disheartening | 1 |
| 8319 | smaller | 1 |
| 8320 | shotwest | 1 |
| 8321 | fvfyw | 1 |
| 8322 | swrr | 1 |
| 8323 | serviceopen | 1 |
| 8324 | acting | 1 |
| 8325 | shortshorts | 1 |
| 8326 | assistanceyou | 1 |
| 8327 | reachable | 1 |
| 8328 | uneventful | 1 |
| 8329 | outline | 1 |
| 8330 | travelportland | 1 |
| 8331 | hood | 1 |
| 8332 | nashvilleshould | 1 |
| 8333 | pumped | 1 |
| 8334 | attire | 1 |
| 8335 | grant | 1 |
| 8336 | majority | 1 |
| 8337 | tomoro | 1 |
| 8338 | feelingtheluv | 1 |
| 8339 | profitbeforepeople | 1 |
| 8340 | rub | 1 |
| 8341 | wig | 1 |
| 8342 | michele | 1 |
| 8343 | goodhumored | 1 |
| 8344 | no_airport | 1 |
| 8345 | poisonpill | 1 |
| 8346 | snowbama | 1 |
| 8347 | promos | 1 |
| 8348 | undefined | 1 |
| 8349 | workingfamily | 1 |
| 8350 | cgroup | 1 |
| 8351 | comeon | 1 |
| 8352 | matt_e_boss | 1 |
| 8353 | predict | 1 |
| 8354 | iiiii | 1 |
| 8355 | slowfi | 1 |
| 8356 | costarica | 1 |
| 8357 | penny | 1 |
| 8358 | vacatime | 1 |
| 8359 | denbna | 1 |
| 8360 | fattuesday | 1 |
| 8361 | awwweesssooomee | 1 |
| 8362 | prchase | 1 |
| 8363 | retailer | 1 |
| 8364 | keepmy | 1 |
| 8365 | mardi | 1 |
| 8366 | gras | 1 |
| 8367 | deicer | 1 |
| 8368 | bushleague | 1 |
| 8369 | weakservice | 1 |
| 8370 | nochill | 1 |
| 8371 | msydca | 1 |
| 8372 | swamistake | 1 |
| 8373 | electric | 1 |
| 8374 | fpmy | 1 |
| 8375 | jennifercascino | 1 |
| 8376 | becuz | 1 |
| 8377 | swfan | 1 |
| 8378 | spreading | 1 |
| 8379 | nftyconvention | 1 |
| 8380 | tulsa | 1 |
| 8381 | southwestluvsweeps | 1 |
| 8382 | waitingcan | 1 |
| 8383 | tomvh | 1 |
| 8384 | elevator | 1 |
| 8385 | southworst | 1 |
| 8386 | desparately | 1 |
| 8387 | annebevi | 1 |
| 8388 | paulbev | 1 |
| 8389 | mikeabramson | 1 |
| 8390 | wreso | 1 |
| 8391 | vegaschicago | 1 |
| 8392 | cbssoxfan | 1 |
| 8393 | offcalls | 1 |
| 8394 | phonedied | 1 |
| 8395 | alistpreferred | 1 |
| 8396 | soured | 1 |
| 8397 | thu | 1 |
| 8398 | screencap | 1 |
| 8399 | paytontaylor | 1 |
| 8400 | payton | 1 |
| 8401 | swair | 1 |
| 8402 | tortured | 1 |
| 8403 | assisted | 1 |
| 8404 | willmake | 1 |
| 8405 | bham | 1 |
| 8406 | fgkxv | 1 |
| 8407 | bernhardtjh | 1 |
| 8408 | bool | 1 |
| 8409 | niggaz | 1 |
| 8410 | loyalrrmember | 1 |
| 8411 | lovesouthwestair | 1 |
| 8412 | notpghtimothy | 1 |
| 8413 | gruber | 1 |
| 8414 | dontchangeathing | 1 |
| 8415 | snowfall | 1 |
| 8416 | fhkte | 1 |
| 8417 | measles | 1 |
| 8418 | outbreak | 1 |
| 8419 | frzz | 1 |
| 8420 | challemann | 1 |
| 8421 | jvstatus | 1 |
| 8422 | streamline | 1 |
| 8423 | commute | 1 |
| 8424 | condescension | 1 |
| 8425 | serenitynow | 1 |
| 8426 | octaviannightmare | 1 |
| 8427 | graded | 1 |
| 8428 | eqp | 1 |
| 8429 | fusturated | 1 |
| 8430 | himy | 1 |
| 8431 | tuldal | 1 |
| 8432 | daycare | 1 |
| 8433 | harass | 1 |
| 8434 | mistakefurious | 1 |
| 8435 | temporary | 1 |
| 8436 | ballsturn | 1 |
| 8437 | evermoreroom | 1 |
| 8438 | marty | 1 |
| 8439 | nobaggagefees | 1 |
| 8440 | pgfryz | 1 |
| 8441 | tied | 1 |
| 8442 | proposal | 1 |
| 8443 | gala | 1 |
| 8444 | boundless | 1 |
| 8445 | sameday | 1 |
| 8446 | republic | 1 |
| 8447 | tan | 1 |
| 8448 | rejecting | 1 |
| 8449 | canister | 1 |
| 8450 | powder | 1 |
| 8451 | divider | 1 |
| 8452 | optin | 1 |
| 8453 | verified | 1 |
| 8454 | sxsw | 1 |
| 8455 | pointsme | 1 |
| 8456 | overchging | 1 |
| 8457 | bg | 1 |
| 8458 | herded | 1 |
| 8459 | cattleslaughter | 1 |
| 8460 | rainy | 1 |
| 8461 | poop | 1 |
| 8462 | signing | 1 |
| 8463 | credential | 1 |
| 8464 | baejet | 1 |
| 8465 | amirite | 1 |
| 8466 | terrybrokebad | 1 |
| 8467 | askamex | 1 |
| 8468 | airspace | 1 |
| 8469 | destin | 1 |
| 8470 | walton | 1 |
| 8471 | catfoodbeerglue | 1 |
| 8472 | yer | 1 |
| 8473 | lbc | 1 |
| 8474 | napkin | 1 |
| 8475 | ruth_slobodin | 1 |
| 8476 | justdoit | 1 |
| 8477 | youknowyouwantto | 1 |
| 8478 | versa | 1 |
| 8479 | longing | 1 |
| 8480 | firstlove | 1 |
| 8481 | leatherseats | 1 |
| 8482 | hipunis | 1 |
| 8483 | guyana | 1 |
| 8484 | eatgregeat | 1 |
| 8485 | wowthx | 1 |
| 8486 | greg | 1 |
| 8487 | teamnkh | 1 |
| 8488 | annnndddd | 1 |
| 8489 | glowing | 1 |
| 8490 | sparkled | 1 |
| 8491 | nokidhungry | 1 |
| 8492 | foodnetwork | 1 |
| 8493 | tummy | 1 |
| 8494 | jetbluehatesbtv | 1 |
| 8495 | trublue | 1 |
| 8496 | answeringdo | 1 |
| 8497 | veteran | 1 |
| 8498 | mcokeep | 1 |
| 8499 | gopuregrenada | 1 |
| 8500 | discovergrenada | 1 |
| 8501 | caribbejan | 1 |
| 8502 | islandexpert | 1 |
| 8503 | jannasaurusrex | 1 |
| 8504 | janna | 1 |
| 8505 | weappreciateyou | 1 |
| 8506 | jetbluefame | 1 |
| 8507 | sosmart | 1 |
| 8508 | frequentflyerappreciates | 1 |
| 8509 | alsoyayforsnacks | 1 |
| 8510 | prbound | 1 |
| 8511 | weekday | 1 |
| 8512 | atct | 1 |
| 8513 | marinadomine | 1 |
| 8514 | ericbradleypt | 1 |
| 8515 | briansumers | 1 |
| 8516 | suffered | 1 |
| 8517 | fifth | 1 |
| 8518 | persistence | 1 |
| 8519 | soooooo | 1 |
| 8520 | sleepy | 1 |
| 8521 | eventhoughitsdegreesathome | 1 |
| 8522 | pid | 1 |
| 8523 | dim | 1 |
| 8524 | haa | 1 |
| 8525 | blushing | 1 |
| 8526 | container | 1 |
| 8527 | tote | 1 |
| 8528 | hitch | 1 |
| 8529 | hike | 1 |
| 8530 | passengersarepeople | 1 |
| 8531 | adv | 1 |
| 8532 | civilized | 1 |
| 8533 | datingrev | 1 |
| 8534 | aiecraft | 1 |
| 8535 | fuckin | 1 |
| 8536 | lbairport | 1 |
| 8537 | longbeachcity | 1 |
| 8538 | facility | 1 |
| 8539 | navigating | 1 |
| 8540 | flu | 1 |
| 8541 | gonenow | 1 |
| 8542 | charlestonvery | 1 |
| 8543 | pricy | 1 |
| 8544 | zombie | 1 |
| 8545 | welp | 1 |
| 8546 | chging | 1 |
| 8547 | isit | 1 |
| 8548 | froward | 1 |
| 8549 | sway | 1 |
| 8550 | transferring | 1 |
| 8551 | contributiontopool | 1 |
| 8552 | arc | 1 |
| 8553 | extraction | 1 |
| 8554 | abducted | 1 |
| 8555 | lessening | 1 |
| 8556 | bucketobolts | 1 |
| 8557 | columbian | 1 |
| 8558 | weepysweetmonty | 1 |
| 8559 | compartment | 1 |
| 8560 | mrjustyn | 1 |
| 8561 | studying | 1 |
| 8562 | lingo | 1 |
| 8563 | depressing | 1 |
| 8564 | lololololol | 1 |
| 8565 | overreacting | 1 |
| 8566 | relieved | 1 |
| 8567 | neighboring | 1 |
| 8568 | omgee | 1 |
| 8569 | onfleek | 1 |
| 8570 | foh | 1 |
| 8571 | noooooooooooooooooo | 1 |
| 8572 | contentmarketing | 1 |
| 8573 | mag | 1 |
| 8574 | kangaroo | 1 |
| 8575 | deemed | 1 |
| 8576 | blade | 1 |
| 8577 | freberg | 1 |
| 8578 | lmfaooooo | 1 |
| 8579 | planewide | 1 |
| 8580 | yrold | 1 |
| 8581 | greatgranny | 1 |
| 8582 | yasssss | 1 |
| 8583 | da | 1 |
| 8584 | fuccc | 1 |
| 8585 | unfollowing | 1 |
| 8586 | preciation | 1 |
| 8587 | fedora | 1 |
| 8588 | lolol | 1 |
| 8589 | s_myc | 1 |
| 8590 | tongueincheek | 1 |
| 8591 | etiquette | 1 |
| 8592 | stahhppp | 1 |
| 8593 | welllllll | 1 |
| 8594 | peak | 1 |
| 8595 | caucasity | 1 |
| 8596 | lmaoooo | 1 |
| 8597 | hired | 1 |
| 8598 | lmfaooo | 1 |
| 8599 | assuage | 1 |
| 8600 | indignation | 1 |
| 8601 | wen | 1 |
| 8602 | cultural | 1 |
| 8603 | appropriation | 1 |
| 8604 | ballin | 1 |
| 8605 | bostongarden | 1 |
| 8606 | welcoming | 1 |
| 8607 | toss | 1 |
| 8608 | wit | 1 |
| 8609 | brink | 1 |
| 8610 | x__x | 1 |
| 8611 | sporting | 1 |
| 8612 | hellobrittney_ | 1 |
| 8613 | stahp | 1 |
| 8614 | bop | 1 |
| 8615 | newspaper | 1 |
| 8616 | x____x | 1 |
| 8617 | ihop | 1 |
| 8618 | multimedia | 1 |
| 8619 | courteroy | 1 |
| 8620 | lolz | 1 |
| 8621 | usingthisword | 1 |
| 8622 | blizzue | 1 |
| 8623 | hizouse | 1 |
| 8624 | petty | 1 |
| 8625 | hahah | 1 |
| 8626 | yasss | 1 |
| 8627 | thatlol | 1 |
| 8628 | digg | 1 |
| 8629 | alynewton | 1 |
| 8630 | designer | 1 |
| 8631 | ducttaped | 1 |
| 8632 | ohboy | 1 |
| 8633 | shouldigetoutandpush | 1 |
| 8634 | tlc | 1 |
| 8635 | universalorl | 1 |
| 8636 | alternatively | 1 |
| 8637 | irina | 1 |
| 8638 | flipside | 1 |
| 8639 | eatup | 1 |
| 8640 | cafe | 1 |
| 8641 | buggy | 1 |
| 8642 | abassinet | 1 |
| 8643 | gerne | 1 |
| 8644 | billmelate | 1 |
| 8645 | vmsg | 1 |
| 8646 | dig | 1 |
| 8647 | novel | 1 |
| 8648 | jeff_hofmann | 1 |
| 8649 | denisejtaylor | 1 |
| 8650 | laurieameacham | 1 |
| 8651 | multix | 1 |
| 8652 | misspelled | 1 |
| 8653 | junsep | 1 |
| 8654 | geraghty | 1 |
| 8655 | nyjets | 1 |
| 8656 | gopatriots | 1 |
| 8657 | westpalmbeach | 1 |
| 8658 | flybetter | 1 |
| 8659 | chasing | 1 |
| 8660 | selfcheck | 1 |
| 8661 | redsox | 1 |
| 8662 | catsanddogslivingtogether | 1 |
| 8663 | pearl | 1 |
| 8664 | complex | 1 |
| 8665 | pulldown | 1 |
| 8666 | suboption | 1 |
| 8667 | formsmaddening | 1 |
| 8668 | waldorf | 1 |
| 8669 | astoria | 1 |
| 8670 | outfit | 1 |
| 8671 | liking | 1 |
| 8672 | shocker | 1 |
| 8673 | daniel | 1 |
| 8674 | webpage | 1 |
| 8675 | birder | 1 |
| 8676 | rat | 1 |
| 8677 | sloooooow | 1 |
| 8678 | jfksfo | 1 |
| 8679 | separating | 1 |
| 8680 | safetyconcerns | 1 |
| 8681 | emaleesugano | 1 |
| 8682 | reunited | 1 |
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| 8684 | homeward | 1 |
| 8685 | monsoon | 1 |
| 8686 | devastated | 1 |
| 8687 | jetblues | 1 |
| 8688 | extralight | 1 |
| 8689 | zakkohane | 1 |
| 8690 | happytohelp | 1 |
| 8691 | cosmopolitan | 1 |
| 8692 | contactless | 1 |
| 8693 | diffused | 1 |
| 8694 | inflation | 1 |
| 8695 | nexttime | 1 |
| 8696 | andthewinneris | 1 |
| 8697 | whyabcwhy | 1 |
| 8698 | dressed | 1 |
| 8699 | informs | 1 |
| 8700 | julesdameron | 1 |
| 8701 | accessibility | 1 |
| 8702 | equality | 1 |
| 8703 | missingtheoscars | 1 |
| 8704 | ooookay | 1 |
| 8705 | tap | 1 |
| 8706 | shiver | 1 |
| 8707 | forevercold | 1 |
| 8708 | sdq | 1 |
| 8709 | paseengers | 1 |
| 8710 | santo | 1 |
| 8711 | domingo | 1 |
| 8712 | surfboard | 1 |
| 8713 | gif | 1 |
| 8714 | thng | 1 |
| 8715 | prechk | 1 |
| 8716 | tanked | 1 |
| 8717 | justwrong | 1 |
| 8718 | alamo | 1 |
| 8719 | tatiana | 1 |
| 8720 | aha | 1 |
| 8721 | smith | 1 |
| 8722 | oust | 1 |
| 8723 | accurately | 1 |
| 8724 | finleybklyncfs | 1 |
| 8725 | mgood | 1 |
| 8726 | focus | 1 |
| 8727 | psgrs | 1 |
| 8728 | nikon | 1 |
| 8729 | reliablefriendly | 1 |
| 8730 | repexper | 1 |
| 8731 | undrstnd | 1 |
| 8732 | wlcm | 1 |
| 8733 | onbrd | 1 |
| 8734 | bulb | 1 |
| 8735 | cabcelled | 1 |
| 8736 | byebyejetblue | 1 |
| 8737 | token | 1 |
| 8738 | snowbound | 1 |
| 8739 | scent | 1 |
| 8740 | tht | 1 |
| 8741 | deli | 1 |
| 8742 | customerservicenot | 1 |
| 8743 | prefference | 1 |
| 8744 | inconceivable | 1 |
| 8745 | ishouldhavedriven | 1 |
| 8746 | chrishasmadeusblush | 1 |
| 8747 | trending | 1 |
| 8748 | increment | 1 |
| 8749 | seabos | 1 |
| 8750 | uschamber | 1 |
| 8751 | summit | 1 |
| 8752 | ought | 1 |
| 8753 | communicationiskey | 1 |
| 8754 | hawaiianair | 1 |
| 8755 | ventilation | 1 |
| 8756 | hunkydory | 1 |
| 8757 | broinlaw | 1 |
| 8758 | garage | 1 |
| 8759 | replyingi | 1 |
| 8760 | dobut | 1 |
| 8761 | timethat | 1 |
| 8762 | expediathere | 1 |
| 8763 | luggagegate | 1 |
| 8764 | yoga | 1 |
| 8765 | edits | 1 |
| 8766 | mba | 1 |
| 8767 | pto | 1 |
| 8768 | mintyfresh | 1 |
| 8769 | fourhour | 1 |
| 8770 | ctg | 1 |
| 8771 | captured | 1 |
| 8772 | brittany | 1 |
| 8773 | loweredexpectations | 1 |
| 8774 | amtoday | 1 |
| 8775 | txtemail | 1 |
| 8776 | enzo | 1 |
| 8777 | setorii | 1 |
| 8778 | pooch | 1 |
| 8779 | directing | 1 |
| 8780 | bevy | 1 |
| 8781 | cookjaycook | 1 |
| 8782 | amagrino | 1 |
| 8783 | wiyh | 1 |
| 8784 | newborn | 1 |
| 8785 | inebriated | 1 |
| 8786 | closure | 1 |
| 8787 | quickie | 1 |
| 8788 | cartagena | 1 |
| 8789 | pact | 1 |
| 8790 | organizational | 1 |
| 8791 | chartering | 1 |
| 8792 | sugar | 1 |
| 8793 | idlovetoask | 1 |
| 8794 | startled | 1 |
| 8795 | description | 1 |
| 8796 | expanded | 1 |
| 8797 | bonnie | 1 |
| 8798 | newburg | 1 |
| 8799 | rly | 1 |
| 8800 | belti | 1 |
| 8801 | investigation | 1 |
| 8802 | tux | 1 |
| 8803 | cannedtweet | 1 |
| 8804 | demanded | 1 |
| 8805 | waved | 1 |
| 8806 | inserted | 1 |
| 8807 | truebluecolors | 1 |
| 8808 | circling | 1 |
| 8809 | timesomeone | 1 |
| 8810 | updateyourwebsite | 1 |
| 8811 | desire | 1 |
| 8812 | dobetterjetblue | 1 |
| 8813 | carta | 1 |
| 8814 | apnea | 1 |
| 8815 | glenn | 1 |
| 8816 | cole | 1 |
| 8817 | buffaloniagara | 1 |
| 8818 | airportwide | 1 |
| 8819 | unlucky | 1 |
| 8820 | haning | 1 |
| 8821 | mosaicmecrazy | 1 |
| 8822 | nofilterneeded | 1 |
| 8823 | miraculously | 1 |
| 8824 | liftin | 1 |
| 8825 | higherandhigher | 1 |
| 8826 | soulandinspiration | 1 |
| 8827 | acy | 1 |
| 8828 | takr | 1 |
| 8829 | erie | 1 |
| 8830 | fllairport | 1 |
| 8831 | authority | 1 |
| 8832 | badairline | 1 |
| 8833 | mde | 1 |
| 8834 | tf | 1 |
| 8835 | tfgreenairport | 1 |
| 8836 | wore | 1 |
| 8837 | yourock | 1 |
| 8838 | mxo | 1 |
| 8839 | henrikwagner | 1 |
| 8840 | eternity | 1 |
| 8841 | ammisery | 1 |
| 8842 | hella | 1 |
| 8843 | americanairbr | 1 |
| 8844 | misbehavior | 1 |
| 8845 | dubai | 1 |
| 8846 | equalizer | 1 |
| 8847 | dgruber | 1 |
| 8848 | shuck | 1 |
| 8849 | tarmat | 1 |
| 8850 | backhome | 1 |
| 8851 | maddie_flood | 1 |
| 8852 | hesitant | 1 |
| 8853 | sized | 1 |
| 8854 | stuckonaplane | 1 |
| 8855 | babyfood | 1 |
| 8856 | cushy | 1 |
| 8857 | help_lindsey | 1 |
| 8858 | motherinlaw | 1 |
| 8859 | rethink | 1 |
| 8860 | pbijfk | 1 |
| 8861 | hatch | 1 |
| 8862 | interupt | 1 |
| 8863 | staduim | 1 |
| 8864 | ijustwanttobeinboston | 1 |
| 8865 | thanksdc | 1 |
| 8866 | l_burley | 1 |
| 8867 | concerning | 1 |
| 8868 | loststolen | 1 |
| 8869 | ada | 1 |
| 8870 | sex | 1 |
| 8871 | cory | 1 |
| 8872 | incase | 1 |
| 8873 | cave | 1 |
| 8874 | heinekenusacorp | 1 |
| 8875 | distributor | 1 |
| 8876 | livethelegend | 1 |
| 8877 | playlist | 1 |
| 8878 | rainsleet | 1 |
| 8879 | instant | 1 |
| 8880 | lipstick | 1 |
| 8881 | toolong | 1 |
| 8882 | restless | 1 |
| 8883 | maarten | 1 |
| 8884 | exciting | 1 |
| 8885 | tempting | 1 |
| 8886 | sodone | 1 |
| 8887 | treacherous | 1 |
| 8888 | rocker | 1 |
| 8889 | knock | 1 |
| 8890 | johnnosta | 1 |
| 8891 | lizaapproved | 1 |
| 8892 | pgashow | 1 |
| 8893 | phew | 1 |
| 8894 | wheeze | 1 |
| 8895 | pricewise | 1 |
| 8896 | cough | 1 |
| 8897 | compact | 1 |
| 8898 | redo | 1 |
| 8899 | thismosaicnothappy | 1 |
| 8900 | bestdressed | 1 |
| 8901 | giggled | 1 |
| 8902 | goodgenes | 1 |
| 8903 | ilookyoung | 1 |
| 8904 | itslaloca | 1 |
| 8905 | downthanks | 1 |
| 8906 | condolence | 1 |
| 8907 | viraltech | 1 |
| 8908 | institutional | 1 |
| 8909 | predictive | 1 |
| 8910 | analytics | 1 |
| 8911 | alicia | 1 |
| 8912 | exceptionalservice | 1 |
| 8913 | lauderdalebogota | 1 |
| 8914 | colombian | 1 |
| 8915 | disapptment | 1 |
| 8916 | bdng | 1 |
| 8917 | tad | 1 |
| 8918 | rebuilding | 1 |
| 8919 | chatted | 1 |
| 8920 | lowdown | 1 |
| 8921 | gether | 1 |
| 8922 | session | 1 |
| 8923 | beloved | 1 |
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| 8926 | nixchangefees | 1 |
| 8927 | portauprince | 1 |
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| 8933 | crib | 1 |
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| 8935 | usatodaytravel | 1 |
| 8936 | dualcam | 1 |
| 8937 | redreserve | 1 |
| 8938 | benjaminokeefe | 1 |
| 8939 | werenotincalianymore | 1 |
| 8940 | nyers | 1 |
| 8941 | happytweet | 1 |
| 8942 | tuftsenergyconf | 1 |
| 8943 | lifeisgood | 1 |
| 8944 | guacamole | 1 |
| 8945 | westpalmbeachbound | 1 |
| 8946 | zacks_com | 1 |
| 8947 | incidental | 1 |
| 8948 | anyways | 1 |
| 8949 | nomoreaggravation | 1 |
| 8950 | bossju | 1 |
| 8951 | flywhonotblue | 1 |
| 8952 | wailing | 1 |
| 8953 | nov | 1 |
| 8954 | kin | 1 |
| 8955 | ferrissalameh | 1 |
| 8956 | delayforwhat | 1 |
| 8957 | sittingonthetarmac | 1 |
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| 8959 | dlewis | 1 |
| 8960 | inflght | 1 |
| 8961 | thre | 1 |
| 8962 | abcletjetbluestreamfeed | 1 |
| 8963 | cavs | 1 |
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| 8966 | pura | 1 |
| 8967 | vida | 1 |
| 8968 | sharktank | 1 |
| 8969 | toplay | 1 |
| 8970 | vainglorygame | 1 |
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| 8972 | feelbetter | 1 |
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| 8974 | markie_post | 1 |
| 8975 | markie | 1 |
| 8976 | mayweather | 1 |
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| 11053 | natt | 1 |
| 11054 | panam | 1 |
| 11055 | neverflyaaagain | 1 |
| 11056 | fluctuated | 1 |
| 11057 | backended | 1 |
| 11058 | mattthomasnews | 1 |
| 11059 | siberia | 1 |
| 11060 | woase | 1 |
| 11061 | helsinkiairport | 1 |
| 11062 | winterops | 1 |
| 11063 | prebook | 1 |
| 11064 | midoexhibition | 1 |
| 11065 | nastiest | 1 |
| 11066 | yesterdayrubber | 1 |
| 11067 | slime | 1 |
| 11068 | backfas | 1 |
| 11069 | congested | 1 |
| 11070 | dissapointing | 1 |
| 11071 | edplotts | 1 |
| 11072 | thanksamericanairlines | 1 |
| 11073 | bdsm | 1 |
| 11074 | porn | 1 |
| 11075 | dungeon | 1 |
| 11076 | op | 1 |
| 11077 | tulsanot | 1 |
| 11078 | servicelooks | 1 |
| 11079 | raft | 1 |
| 11080 | yessir | 1 |
| 11081 | yourlocalnyer | 1 |
| 11082 | rob | 1 |
| 11083 | botched | 1 |
| 11084 | absurdity | 1 |
| 11085 | tug | 1 |
| 11086 | outraged | 1 |
| 11087 | memorize | 1 |
| 11088 | fiveword | 1 |
| 11089 | phrase | 1 |
| 11090 | shortcut | 1 |
| 11091 | tywinter | 1 |
| 11092 | itover | 1 |
| 11093 | nbsnewsr | 1 |
| 11094 | reservationchange | 1 |
| 11095 | mikehertz | 1 |
| 11096 | phrased | 1 |
| 11097 | fakeawards | 1 |
| 11098 | luvisbetter | 1 |
| 11099 | attendent | 1 |
| 11100 | terriblebeen | 1 |
| 11101 | mty | 1 |
| 11102 | surfer | 1 |
| 11103 | noloveforsurfers | 1 |
| 11104 | laxmad | 1 |
| 11105 | escalate | 1 |
| 11106 | seemless | 1 |
| 11107 | surfboardbag | 1 |
| 11108 | nomoaa | 1 |
| 11109 | mait | 1 |
| 11110 | formality | 1 |
| 11111 | rudelyreturning | 1 |
| 11112 | nohotel | 1 |
| 11113 | ahem | 1 |
| 11114 | frowny | 1 |
| 11115 | unsat | 1 |
| 11116 | angelo | 1 |
| 11117 | _lucy_may | 1 |
| 11118 | discussing | 1 |
| 11119 | hfjkto | 1 |
| 11120 | unimpressed | 1 |
| 11121 | dallasairporti | 1 |
| 11122 | clewould | 1 |
| 11123 | erroring | 1 |
| 11124 | thousandth | 1 |
| 11125 | mistreated | 1 |
| 11126 | guru | 1 |
| 11127 | ease | 1 |
| 11128 | evidently | 1 |
| 11129 | meetingsinterviews | 1 |
| 11130 | circuit | 1 |
| 11131 | breaker | 1 |
| 11132 | busfirst | 1 |
| 11133 | milesaaver | 1 |
| 11134 | whyfly | 1 |
| 11135 | hourwaitsucks | 1 |
| 11136 | madhouse | 1 |
| 11137 | responsetough | 1 |
| 11138 | montrose | 1 |
| 11139 | allrepresentativesbusy | 1 |
| 11140 | nooption | 1 |
| 11141 | packermama | 1 |
| 11142 | bademployeeproblem | 1 |
| 11143 | surgeryhelp | 1 |
| 11144 | irrlcd | 1 |
| 11145 | unamerican | 1 |
| 11146 | cathaypacific | 1 |
| 11147 | cathaypacificus | 1 |
| 11148 | airsouthwest | 1 |
| 11149 | dehydrated | 1 |
| 11150 | ciddfw | 1 |
| 11151 | beis | 1 |
| 11152 | chaperone | 1 |
| 11153 | rldelahunty | 1 |
| 11154 | mrobinson | 1 |
| 11155 | crazybitch | 1 |
| 11156 | andyellwood | 1 |
| 11157 | delk | 1 |
| 11158 | halfthought | 1 |
| 11159 | pie | 1 |
| 11160 | meerikangas | 1 |
| 11161 | hahahaha | 1 |
| 11162 | hoagy | 1 |
| 11163 | pasting | 1 |
| 11164 | wreservations | 1 |
| 11165 | anticipating | 1 |
| 11166 | bride | 1 |
| 11167 | attending | 1 |
| 11168 | brooklyn | 1 |
| 11169 | jacqueline | 1 |
| 11170 | amexserve | 1 |
| 11171 | denise | 1 |
| 11172 | rtn | 1 |
| 11173 | noworse | 1 |
| 11174 | airat | 1 |
| 11175 | rudestaff | 1 |
| 11176 | incompetentmanagers | 1 |
| 11177 | eleonora | 1 |
| 11178 | awfully | 1 |
| 11179 | unclear | 1 |
| 11180 | audio | 1 |
| 11181 | pir | 1 |
| 11182 | cud | 1 |
| 11183 | wong | 1 |
| 11184 | marisol | 1 |
| 11185 | pimentel | 1 |
| 11186 | reasonably | 1 |
| 11187 | mallowfairy | 1 |
| 11188 | cnext | 1 |
| 11189 | kthxbai | 1 |
| 11190 | strict | 1 |
| 11191 | doorclose | 1 |
| 11192 | drinkssnacks | 1 |
| 11193 | selfupgraded | 1 |
| 11194 | jaipur | 1 |
| 11195 | dehli | 1 |
| 11196 | murphyjulie | 1 |
| 11197 | stiiiil | 1 |
| 11198 | malhoit | 1 |
| 11199 | hating | 1 |
| 11200 | cac | 1 |
| 11201 | familyfriends | 1 |
| 11202 | lmk | 1 |
| 11203 | mwangbickler | 1 |
| 11204 | michael | 1 |
| 11205 | thehours | 1 |
| 11206 | infuriating | 1 |
| 11207 | riedel | 1 |
| 11208 | active_aly | 1 |
| 11209 | usairwis | 1 |
| 11210 | kaha | 1 |
| 11211 | americanairif | 1 |
| 11212 | qsvgru | 1 |
| 11213 | stmt | 1 |
| 11214 | getyouracttogether | 1 |
| 11215 | painandsuffering | 1 |
| 11216 | emrey | 1 |
| 11217 | tjycqh | 1 |
| 11218 | nitenot | 1 |
| 11219 | pu | 1 |
| 11220 | unt | 1 |
| 11221 | aft | 1 |
| 11222 | remained | 1 |
| 11223 | unreachable | 1 |
| 11224 | datetime | 1 |
| 11225 | revieving | 1 |
| 11226 | agreed | 1 |
| 11227 | chkin | 1 |
| 11228 | wsupervisor | 1 |
| 11229 | baggagedrama | 1 |
| 11230 | squawked | 1 |
| 11231 | admiralsclub | 1 |
| 11232 | worstcustservice | 1 |
| 11233 | zurichnew | 1 |
| 11234 | flightsthis | 1 |
| 11235 | nationalized | 1 |
| 11236 | nation | 1 |
| 11237 | declared | 1 |
| 11238 | squawking | 1 |
| 11239 | fligth | 1 |
| 11240 | somthing | 1 |
| 11241 | nickcunningham | 1 |
| 11242 | qqbmug | 1 |
| 11243 | reticketed | 1 |
| 11244 | loganex | 1 |
| 11245 | epicfailure | 1 |
| 11246 | aaba | 1 |
| 11247 | unsettling | 1 |
| 11248 | emeyerson | 1 |
| 11249 | walmart | 1 |
| 11250 | koalaxphlord | 1 |
| 11251 | savr | 1 |
| 11252 | awrd | 1 |
| 11253 | koalaxphxord | 1 |
| 11254 | blameshiftoverload | 1 |
| 11255 | helpthanks | 1 |
| 11256 | jfklas | 1 |
| 11257 | visiting | 1 |
| 11258 | latinamerican | 1 |
| 11259 | ithaca | 1 |
| 11260 | xld | 1 |
| 11261 | rulesshouldbend | 1 |
| 11262 | sheer | 1 |
| 11263 | reigning | 1 |
| 11264 | gd | 1 |
| 11265 | sloooowresponses | 1 |
| 11266 | twenty | 1 |
| 11267 | prank | 1 |
| 11268 | plt | 1 |
| 11269 | karaax | 1 |
| 11270 | neuer | 1 |
| 11271 | reebooked | 1 |
| 11272 | lvdfw | 1 |
| 11273 | champagne | 1 |
| 11274 | ordnrt | 1 |
| 11275 | tokyomarathon | 1 |
| 11276 | nothinghoping | 1 |
| 11277 | insure | 1 |
| 11278 | fricken | 1 |
| 11279 | americanaireveryone | 1 |
| 11280 | dickhead | 1 |
| 11281 | finale | 1 |
| 11282 | rebookplease | 1 |
| 11283 | instance | 1 |
| 11284 | unsuccessful | 1 |
| 11285 | nonperformance | 1 |
| 11286 | onholdfordays | 1 |
| 11287 | plebe | 1 |
| 11288 | youredoingitwrong | 1 |
| 11289 | foresight | 1 |
| 11290 | tahiti | 1 |
| 11291 | kevolt | 1 |
| 11292 | sozldj | 1 |
| 11293 | importantflight | 1 |
| 11294 | lens | 1 |
| 11295 | scareair | 1 |
| 11296 | callcentre | 1 |
| 11297 | whoooo | 1 |
| 11298 | hooooo | 1 |
| 11299 | pace | 1 |
| 11300 | nashinmypants | 1 |
| 11301 | quitting | 1 |
| 11302 | sounding | 1 |
| 11303 | bitchslapped | 1 |
| 11304 | juliasinton | 1 |
| 11305 | dmstill | 1 |
| 11306 | waitingso | 1 |
| 11307 | interestingagent | 1 |
| 11308 | refers | 1 |
| 11309 | autorebooked | 1 |
| 11310 | crystal | 1 |
| 11311 | toby | 1 |
| 11312 | arminrosen | 1 |
| 11313 | bensonhenderson | 1 |
| 11314 | bmi | 1 |
| 11315 | reciprocate | 1 |
| 11316 | dogbuckeye | 1 |
| 11317 | onholdforever | 1 |
| 11318 | suboptimal | 1 |
| 11319 | incompetency | 1 |
| 11320 | tusdfw | 1 |
| 11321 | wcx | 1 |
| 11322 | willneverflywithyou | 1 |
| 11323 | lesliewolfson | 1 |
| 11324 | ltr | 1 |
| 11325 | nlrphoto | 1 |
| 11326 | espn_coachmack | 1 |
| 11327 | conv | 1 |
| 11328 | pigeon | 1 |
| 11329 | warn | 1 |
| 11330 | mdbeei | 1 |
| 11331 | mcmullen | 1 |
| 11332 | whyareyouyelling | 1 |
| 11333 | doll | 1 |
| 11334 | virtual | 1 |
| 11335 | agostill | 1 |
| 11336 | emailtext | 1 |
| 11337 | ratchet | 1 |
| 11338 | watson | 1 |
| 11339 | jennings | 1 |
| 11340 | greyhoundbus | 1 |
| 11341 | queuing | 1 |
| 11342 | quickest | 1 |
| 11343 | exboyfriend | 1 |
| 11344 | electronics | 1 |
| 11345 | gratitude | 1 |
| 11346 | ltaljx | 1 |
| 11347 | goodthingscome | 1 |
| 11348 | ti | 1 |
| 11349 | shiz | 1 |
| 11350 | racist | 1 |
| 11351 | barcodes | 1 |
| 11352 | whereisthelove | 1 |
| 11353 | whybeaaff | 1 |
| 11354 | duanenclark | 1 |
| 11355 | apathetic | 1 |
| 11356 | organized | 1 |
| 11357 | plse | 1 |
| 11358 | equivalent | 1 |
| 11359 | dirt | 1 |
| 11360 | sfojfk | 1 |
| 11361 | programmer | 1 |
| 11362 | instantly | 1 |
| 11363 | avenue | 1 |
| 11364 | jal | 1 |
| 11365 | cathay | 1 |
| 11366 | marshall | 1 |
| 11367 | tracker | 1 |
| 11368 | americanairsucks | 1 |
| 11369 | hiremorepoeple | 1 |
| 11370 | wnothing | 1 |
| 11371 | wtw | 1 |
| 11372 | waitabout | 1 |
| 11373 | perhr | 1 |
| 11374 | burden | 1 |
| 11375 | oxgen | 1 |
| 11376 | tank | 1 |
| 11377 | informing | 1 |
| 11378 | aircraftrunways | 1 |
| 11379 | todaytomorrow | 1 |
| 11380 | combative | 1 |
| 11381 | hury | 1 |
| 11382 | miacur | 1 |
| 11383 | texarkana | 1 |
| 11384 | shouldhavedriven | 1 |
| 11385 | dallasfort | 1 |
| 11386 | psych | 1 |
| 11387 | yourphonesystemsucks | 1 |
| 11388 | phldfw | 1 |
| 11389 | blessed | 1 |
| 11390 | adolfo | 1 |
| 11391 | garcia | 1 |
| 11392 | twiiter | 1 |
| 11393 | vcp | 1 |
| 11394 | banana | 1 |
| 11395 | undies | 1 |
| 11396 | mall | 1 |
| 11397 | vanessaannz | 1 |
| 11398 | inclemental | 1 |
| 11399 | strtd | 1 |
| 11400 | pummeled | 1 |
| 11401 | arpt | 1 |
| 11402 | activated | 1 |
| 11403 | destn | 1 |
| 11404 | nosecuritylines | 1 |
| 11405 | poorest | 1 |
| 11406 | alabama | 1 |
| 11407 | thickens | 1 |
| 11408 | aaalwayslate | 1 |
| 11409 | dandy | 1 |
| 11410 | lookforwardtoflywithaa | 1 |
| 11411 | helper | 1 |
| 11412 | motvida | 1 |
| 11413 | aged | 1 |
| 11414 | internally | 1 |
| 11415 | profiting | 1 |
| 11416 | hurting | 1 |
| 11417 | covert | 1 |
| 11418 | jeopardy | 1 |
| 11419 | dai_president | 1 |
| 11420 | cncdld | 1 |
| 11421 | snuck | 1 |
| 11422 | cookie | 1 |
| 11423 | spectacularfed | 1 |
| 11424 | cinedrones | 1 |
| 11425 | carlw | 1 |
| 11426 | nan | 1 |
| 11427 | bear | 1 |
| 11428 | retains | 1 |
| 11429 | cstmr | 1 |
| 11430 | grossthe | 1 |
| 11431 | cancld | 1 |
| 11432 | discnctany | 1 |
| 11433 | abidfw | 1 |
| 11434 | cheat | 1 |
| 11435 | horribly | 1 |
| 11436 | stray | 1 |
| 11437 | praywinn | 1 |
| 11438 | slowdown | 1 |
| 11439 | spectacular | 1 |
| 11440 | lhrdfw | 1 |
| 11441 | priceline | 1 |
| 11442 | troubleshot | 1 |
| 11443 | paranoid | 1 |
| 11444 | jaynegelman | 1 |
| 11445 | retrieved | 1 |
| 11446 | insisted | 1 |
| 11447 | heymynameissean | 1 |
| 11448 | newairplanes | 1 |
| 11449 | kconti | 1 |
| 11450 | berlin | 1 |
| 11451 | jameswester | 1 |
| 11452 | james | 1 |
| 11453 | wflights | 1 |
| 11454 | cjdjpdx | 1 |
| 11455 | multinational | 1 |
| 11456 | unmoving | 1 |
| 11457 | kaps | 1 |
| 11458 | totallyconfused | 1 |
| 11459 | freak | 1 |
| 11460 | surreal | 1 |
| 11461 | rio | 1 |
| 11462 | rcm_oficial | 1 |
| 11463 | representing | 1 |
| 11464 | cisnerosmedia | 1 |
| 11465 | yourstoryhere | 1 |
| 11466 | cyncyn | 1 |
| 11467 | dfword | 1 |
| 11468 | watered | 1 |
| 11469 | patrichruben | 1 |
| 11470 | maximization | 1 |
| 11471 | dinosaur | 1 |
| 11472 | cnbc | 1 |
| 11473 | bloombergradio | 1 |
| 11474 | derekaustin | 1 |
| 11475 | centuryca | 1 |
| 11476 | manuel_c | 1 |
| 11477 | ezemanalyst | 1 |
| 11478 | impersonal | 1 |
| 11479 | impatient | 1 |
| 11480 | skillful | 1 |
| 11481 | flightness | 1 |
| 11482 | snafu | 1 |
| 11483 | untrue | 1 |
| 11484 | cncld | 1 |
| 11485 | brothaaaaaa | 1 |
| 11486 | repaired | 1 |
| 11487 | sarahzou | 1 |
| 11488 | translation | 1 |
| 11489 | reinvest | 1 |
| 11490 | colossal | 1 |
| 11491 | infringement | 1 |
| 11492 | jimdaytv | 1 |
| 11493 | unannounced | 1 |
| 11494 | fingerscrossed | 1 |
| 11495 | pleasegod | 1 |
| 11496 | missmykids | 1 |
| 11497 | aex | 1 |
| 11498 | overflow | 1 |
| 11499 | rem | 1 |
| 11500 | ensued | 1 |
| 11501 | marcos | 1 |
| 11502 | concierge | 1 |
| 11503 | gru | 1 |
| 11504 | sorting | 1 |
| 11505 | sleepless | 1 |
| 11506 | worthy | 1 |
| 11507 | useles | 1 |
| 11508 | allll | 1 |
| 11509 | convenience | 1 |
| 11510 | joplin | 1 |
| 11511 | jln | 1 |
| 11512 | temper | 1 |
| 11513 | weeklycommuteonaa | 1 |
| 11514 | sour | 1 |
| 11515 | saveus | 1 |
| 11516 | patheticcx | 1 |
| 11517 | shortstaffed | 1 |
| 11518 | adress | 1 |
| 11519 | spontaneously | 1 |
| 11520 | overtime | 1 |
| 11521 | bershawnjackson | 1 |
| 11522 | ddean | 1 |
| 11523 | deoderant | 1 |
| 11524 | reclameaqui | 1 |
| 11525 | tripadvisor | 1 |
| 11526 | sabotaging | 1 |
| 11527 | advan | 1 |
| 11528 | unloads | 1 |
| 11529 | supvrs | 1 |
| 11530 | fruit | 1 |
| 11531 | mistreatment | 1 |
| 11532 | austic | 1 |
| 11533 | changemassive | 1 |
| 11534 | numberphone | 1 |
| 11535 | ege | 1 |
| 11536 | repainted | 1 |
| 11537 | passengerbillofrights | 1 |
| 11538 | parameter | 1 |
| 11539 | usable | 1 |
| 11540 | sharon | 1 |
| 11541 | saviour | 1 |
| 11542 | rtw | 1 |
| 11543 | planner | 1 |
| 11544 | spec | 1 |
| 11545 | iceday | 1 |
| 11546 | gather | 1 |
| 11547 | thxu | 1 |
| 11548 | abcnews | 1 |
| 11549 | hinted | 1 |
| 11550 | abandonment | 1 |
| 11551 | stupidly | 1 |
| 11552 | nothelpful | 1 |
| 11553 | aggravated | 1 |
| 11554 | dawn_davis | 1 |
| 11555 | hospital | 1 |
| 11556 | flightchange | 1 |
| 11557 | tofrom | 1 |
| 11558 | cncled | 1 |
| 11559 | dotnetnate | 1 |
| 11560 | exps | 1 |
| 11561 | seguinej | 1 |
| 11562 | nevergettinghome | 1 |
| 11563 | mk | 1 |
| 11564 | warrant | 1 |
| 11565 | yeseniahernandez | 1 |
| 11566 | peculiar | 1 |
| 11567 | fixyourstuff | 1 |
| 11568 | complt | 1 |
| 11569 | lav | 1 |
| 11570 | pln | 1 |
| 11571 | lnded | 1 |
| 11572 | inedible | 1 |
| 11573 | shrimp | 1 |
| 11574 | theydontanswer | 1 |
| 11575 | sentierimelinda | 1 |
| 11576 | pasta | 1 |
| 11577 | consumption | 1 |
| 11578 | hateful | 1 |
| 11579 | spell | 1 |
| 11580 | gobankrupt | 1 |
| 11581 | usvi | 1 |
| 11582 | niece | 1 |
| 11583 | sitecomplicated | 1 |
| 11584 | ordering | 1 |
| 11585 | lhrord | 1 |
| 11586 | skypewell | 1 |
| 11587 | viracopos | 1 |
| 11588 | fuckoff | 1 |
| 11589 | lgasat | 1 |
| 11590 | ususdo | 1 |
| 11591 | inventory | 1 |
| 11592 | americanforlife | 1 |
| 11593 | fiscal | 1 |
| 11594 | guc | 1 |
| 11595 | gvn | 1 |
| 11596 | tcunningham | 1 |
| 11597 | jacquelyn | 1 |
| 11598 | tomo | 1 |
| 11599 | onlineuseless | 1 |
| 11600 | stucked | 1 |
| 11601 | aadelay | 1 |
| 11602 | junction | 1 |
| 11603 | amazingflightcrew | 1 |
| 11604 | aftr | 1 |
| 11605 | bng | 1 |
| 11606 | hstg | 1 |
| 11607 | fnd | 1 |
| 11608 | cnceld | 1 |
| 11609 | downloaded | 1 |
| 11610 | cop | 1 |
| 11611 | fcuk | 1 |
| 11612 | vacancy | 1 |
| 11613 | foreveranyone | 1 |
| 11614 | karabuxthomps | 1 |
| 11615 | renewed | 1 |
| 11616 | pe | 1 |
| 11617 | thnkx | 1 |
| 11618 | bt | 1 |
| 11619 | macario | 1 |
| 11620 | golfwithwoody | 1 |
| 11621 | woody | 1 |
| 11622 | prerookie | 1 |
| 11623 | miatoiah | 1 |
| 11624 | russellswriting | 1 |
| 11625 | slammed | 1 |
| 11626 | nail | 1 |
| 11627 | coffin | 1 |
| 11628 | chicagothanks | 1 |
| 11629 | authoritative | 1 |
| 11630 | stagnant | 1 |
| 11631 | doubletriple | 1 |
| 11632 | metars | 1 |
| 11633 | topdown | 1 |
| 11634 | thenatek | 1 |
| 11635 | luz | 1 |
| 11636 | calderon | 1 |
| 11637 | struggle | 1 |
| 11638 | securing | 1 |
| 11639 | cheerupdates | 1 |
| 11640 | helpaa | 1 |
| 11641 | naomi_cooper | 1 |
| 11642 | bdindallas | 1 |
| 11643 | boofin | 1 |
| 11644 | _emmaclifford | 1 |
| 11645 | attackingbabymomma | 1 |
| 11646 | crazinessintherockies | 1 |
| 11647 | ejacqui | 1 |
| 11648 | russelneiss | 1 |
| 11649 | guatemala | 1 |
| 11650 | ringing | 1 |
| 11651 | appleton | 1 |
| 11652 | eliza | 1 |
| 11653 | airtahitinui | 1 |
| 11654 | sweetmel | 1 |
| 11655 | evidence | 1 |
| 11656 | caexhibitions | 1 |
| 11657 | incompetenceunderstaffing | 1 |
| 11658 | compounding | 1 |
| 11659 | tennetexan | 1 |
| 11660 | marxsterbcow | 1 |
| 11661 | aaso | 1 |
| 11662 | actingoutmgmnt | 1 |
| 11663 | brewcrewfan | 1 |
| 11664 | emailingcallingdming | 1 |
| 11665 | unavoidable | 1 |
| 11666 | controllable | 1 |
| 11667 | yvonneokaka | 1 |
| 11668 | twitterhug | 1 |
| 11669 | shesaidrun | 1 |
| 11670 | wthis | 1 |
| 11671 | nthin | 1 |
| 11672 | evr | 1 |
| 11673 | natl | 1 |
| 11674 | hourflight | 1 |
| 11675 | manuel | 1 |
| 11676 | sap | 1 |
| 11677 | chewey | 1 |
| 11678 | oatmeal | 1 |
| 11679 | cst | 1 |
| 11680 | golden | 1 |
| 11681 | custy | 1 |
| 11682 | pvr | 1 |
| 11683 | shannonbloom | 1 |
| 11684 | duck | 1 |
| 11685 | stuffy | 1 |
| 11686 | arbitrarily | 1 |
| 11687 | retribution | 1 |
| 11688 | cxldprotection | 1 |
| 11689 | function | 1 |
| 11690 | nocharge | 1 |
| 11691 | nycbuenos | 1 |
| 11692 | aire | 1 |
| 11693 | jlhalldc | 1 |
| 11694 | tilleymonsta | 1 |
| 11695 | blackberry | 1 |
# Create CountVectorizer vectorizer
# Keep only 1000 features
cv = CountVectorizer(max_features=1000)
# Fit and transform on the text column
cv_features = cv.fit_transform(df['text'])
# Convert the features to an array
cv_features = cv_features.toarray()
# Check the shape of the new array
cv_features.shape
(14640, 1000)
The new array has 14,640 rows (1 for each tweet) and 11,626 columns (1 for each word)
# Create TF-IDF vectorizer
# Keep only 2000 features
tfidf = TfidfVectorizer(max_features=1000)
# Fit and transform on the text column
tf_features = tfidf.fit_transform(df['text'])
# Convert the features to an array
tf_features = tf_features.toarray()
# Check the shape of the new array
tf_features.shape
(14640, 1000)
As as the CV array, the TF-IDF array has 14,640 rows (1 for each tweet) and 1,000 columns (1 for each word) because I limited max_features to 1,000.
Fit the model using vectorized column - Tune the model to improve the accuracy - Evaluate the model using the confusion matrix (on both types of vectorization) - Print the top 40 features and plot their word cloud using both types of vectorization. (7+7 Marks)
It is not mandatory to encode the target column before training the model. You can proceed with modeling without encoding too
You can apply any classification algorithm which has been covered in the course so far
labels = df['airline_sentiment']
# Split the CountVectorizer data into training and testing set.
X_train_cv, X_test_cv, y_train_cv, y_test_cv = train_test_split(cv_features, labels, test_size=0.3, random_state=12)
# Check the shape of the split data
print("X_train")
print(X_train_cv.shape)
print("X_test")
print(X_test_cv.shape)
print("y_train")
print(y_train_cv.shape)
print("y_test")
print(X_test_cv.shape)
X_train (10248, 1000) X_test (4392, 1000) y_train (10248,) y_test (4392, 1000)
Data has been split properly and is ready to be fit
# Using Random Forest to build model for the classification of reviews
rf = RandomForestClassifier(n_jobs=-1)
# Fit to the CountVectorizer data
cv_rf = rf.fit(X_train_cv, y_train_cv)
print(cv_rf)
RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
criterion='gini', max_depth=None, max_features='auto',
max_leaf_nodes=None, max_samples=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=100,
n_jobs=-1, oob_score=False, random_state=None, verbose=0,
warm_start=False)
# Calculate the cross validation score on training
print(np.mean(cross_val_score(cv_rf, cv_features, labels, cv=10)))
0.7224726775956285
The default random forest model with CountVectorizer has a mean accuracy score of around 72%
%%time
# Parameters to pass in RandomizedSearchCV
param_dist = {'n_estimators': sp_randint(4,200),
"max_depth": [3, None],
"max_features": sp_randint(1, 11),
"min_samples_split": sp_randint(2, 11),
"min_samples_leaf": sp_randint(1, 11),
"bootstrap": [True, False],
"criterion": ["gini", "entropy"]}
# Type of scoring used to compare parameter combinations
#scorer = metrics.make_scorer(metrics.recall_score)
# Random search of parameters, using 10 fold cross validation,
# Search across 100 different combinations, and use all available cores
cv_rf_random = RandomizedSearchCV(
estimator = rf,
param_distributions = param_dist,
n_iter = 100,
cv = 3,
random_state=12)
# Fit the random search model
cv_rf_random.fit(X_train_cv, y_train_cv)
print("Best parameters are {} with CV score={}:" .format(cv_rf_random.best_params_,cv_rf_random.best_score_))
Best parameters are {'bootstrap': False, 'criterion': 'gini', 'max_depth': None, 'max_features': 7, 'min_samples_leaf': 1, 'min_samples_split': 7, 'n_estimators': 108} with CV score=0.7663934426229507:
CPU times: user 1min 45s, sys: 7.72 s, total: 1min 53s
Wall time: 6min 59s
# Training the tuned model
cv_rf_tuned = RandomForestClassifier(
bootstrap = False,
criterion = 'gini',
max_depth = None,
max_features = 7,
min_samples_leaf = 1,
min_samples_split = 7,
n_estimators = 108,
n_jobs = -1
)
# Fit the tuned model
cv_rf_tuned.fit(X_train_cv, y_train_cv)
RandomForestClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
criterion='gini', max_depth=None, max_features=7,
max_leaf_nodes=None, max_samples=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=7,
min_weight_fraction_leaf=0.0, n_estimators=108,
n_jobs=-1, oob_score=False, random_state=None, verbose=0,
warm_start=False)
Even with RandomSearchCV, it took about 7 mins to find the optimal parameters. That's longer than our previous projects where we were dealing with numerical data
# Saving the prediction on train data as a result
cv_train_result = cv_rf_tuned.predict(X_train_cv)
# Saving the prediction on test data as a result
cv_test_result = cv_rf_tuned.predict(X_test_cv)
# Calculate the accuracy score
print("Accuracy on training set: ", cv_rf_tuned.score(X_train_cv, y_train_cv))
print("Accuracy on test set: ", cv_rf_tuned.score(X_test_cv, y_test_cv))
#Recall of the model
print("Recall on training set: ", metrics.recall_score(y_train_cv , cv_train_result, average = 'macro'))
print("Recall on test set: ", metrics.recall_score(y_test_cv , cv_test_result, average = 'macro'))
# Calculate the F1 score
print("F1 score on training set: ", metrics.f1_score(y_train_cv, cv_train_result, average='macro'))
print("F1 score on test set: ", metrics.f1_score(y_test_cv, cv_test_result, average='macro'))
Accuracy on training set: 0.9877049180327869 Accuracy on test set: 0.7780054644808743 Recall on training set: 0.9827662320389144 Recall on test set: 0.6552485912469046 F1 score on training set: 0.9822087221194025 F1 score on test set: 0.6867705377436425
# Print and plot a Confusion matrix
conf_mat = confusion_matrix(y_test_cv, cv_test_result)
print(conf_mat)
print()
df_cm = pd.DataFrame(conf_mat, index = [i for i in ["Actual - Negative", "Actual - Neutral", "Actual - Positive"]],
columns = [i for i in ["Predicted - Negative", "Predicted - Neutral", "Predicted - Positive"]])
plt.figure(figsize = (10,7))
sns.heatmap(df_cm, annot=True, fmt='g')
plt.ylabel('Actual label')
plt.xlabel('Predicted label')
plt.show()
[[2594 143 47] [ 401 411 72] [ 228 84 412]]
# Show the top 40 features for CountVectorizer & Random Forest Model
all_features = cv.get_feature_names() #Instantiate the feature from the vectorizer
top_features='' # Addition of top 40 feature into top_feature after training the model
feat=cv_rf_tuned.feature_importances_
features=np.argsort(feat)[::-1]
for i in features[0:40]:
top_features+=all_features[i]
top_features+=' '
print("The Top 40 features in this model are:")
top_features
The Top 40 features in this model are:
'thank thanks not hour usairways jetblue great cancelled flight delayed southwestair united customer love bag hold awesome americanair delay virginamerica best time get amazing call service hr plane still day dm good worst fleek never much airline phone min need '
wordcloud_cv = WordCloud(background_color="white",colormap='viridis',width=2000,
height=1000).generate(top_features)
# Display the generated image:
plt.imshow(wordcloud_cv, interpolation='bilinear')
plt.figure(1, figsize=(14, 11), frameon='equal')
plt.title('Top 40 Features CountVectorizer WordCloud', fontsize=20)
plt.axis("off")
plt.show()
# Split the TF-IDF data into training and testing set.
X_train_tf, X_test_tf, y_train_tf, y_test_tf = train_test_split(tf_features, labels, test_size=0.3, random_state=12)
# Check the shape of the split data
print("X_train_tf")
print(X_train_tf.shape)
print("X_test_tf")
print(X_test_tf.shape)
print("y_train_tf")
print(y_train_tf.shape)
print("y_test_tf")
print(X_test_tf.shape)
X_train_tf (10248, 1000) X_test_tf (4392, 1000) y_train_tf (10248,) y_test_tf (4392, 1000)
Data has been split properly and is ready to be fit
# Using Random Forest to build model for the classification of reviews
rf2 = RandomForestClassifier(n_jobs=-1)
# Fit to the TF-IDF data
tf_rf = rf2.fit(X_train_tf, y_train_tf)
print(tf_rf)
RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
criterion='gini', max_depth=None, max_features='auto',
max_leaf_nodes=None, max_samples=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=100,
n_jobs=-1, oob_score=False, random_state=None, verbose=0,
warm_start=False)
# Calculate the cross validation score on training
print(np.mean(cross_val_score(tf_rf, tf_features, labels, cv=10)))
0.7172814207650274
%%time
# Parameters to pass in RandomizedSearchCV
param_dist2 = {'n_estimators': sp_randint(4,200),
"max_depth": [3, None],
"max_features": sp_randint(1, 11),
"min_samples_split": sp_randint(2, 11),
"min_samples_leaf": sp_randint(1, 11),
"bootstrap": [True, False],
"criterion": ["gini", "entropy"]}
# Type of scoring used to compare parameter combinations
#scorer = metrics.make_scorer(metrics.recall_score)
# Random search of parameters, using 10 fold cross validation,
# Search across 100 different combinations, and use all available cores
tf_rf_random = RandomizedSearchCV(
estimator = rf2,
param_distributions = param_dist2,
n_iter = 100,
cv = 3,
random_state=12)
# Fit the random search model
tf_rf_random.fit(X_train_tf, y_train_tf)
print("Best parameters are {} with CV score={}:" .format(tf_rf_random.best_params_,tf_rf_random.best_score_))
Best parameters are {'bootstrap': False, 'criterion': 'entropy', 'max_depth': None, 'max_features': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 119} with CV score=0.762392661982826:
CPU times: user 1min 49s, sys: 7.86 s, total: 1min 57s
Wall time: 8min 2s
# Training the tuned model
tf_rf_tuned = RandomForestClassifier(
bootstrap = False,
criterion = 'entropy',
max_depth = None,
max_features = 5,
min_samples_leaf = 1,
min_samples_split = 10,
n_estimators = 119,
n_jobs = -1
)
# Fit the tuned model
tf_rf_tuned.fit(X_train_tf, y_train_tf)
RandomForestClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
criterion='entropy', max_depth=None, max_features=5,
max_leaf_nodes=None, max_samples=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=10,
min_weight_fraction_leaf=0.0, n_estimators=119,
n_jobs=-1, oob_score=False, random_state=None, verbose=0,
warm_start=False)
# Saving the prediction on train data as a result
tf_train_result = tf_rf_tuned.predict(X_train_tf)
# Saving the prediction on test data as a result
tf_test_result = tf_rf_tuned.predict(X_test_tf)
# Calculate the accuracy score
print("Accuracy on training set: ", tf_rf_tuned.score(X_train_tf, y_train_tf))
print("Accuracy on test set: ", cv_rf_tuned.score(X_test_tf, y_test_tf))
#Recall of the model
print("Recall on training set: ", metrics.recall_score(y_train_tf , tf_train_result, average = 'macro'))
print("Recall on test set: ", metrics.recall_score(y_test_tf , tf_test_result, average = 'macro'))
# Calculate the F1 score
print("F1 score on training set: ", metrics.f1_score(y_train_tf, tf_train_result, average='macro'))
print("F1 score on test set: ", metrics.f1_score(y_test_tf, tf_test_result, average='macro'))
Accuracy on training set: 0.9893637782982045 Accuracy on test set: 0.31397996357012753 Recall on training set: 0.9856492853009379 Recall on test set: 0.6309952554107604 F1 score on training set: 0.9842361382975451 F1 score on test set: 0.6685496892714712
# Print and plot a Confusion matrix
conf_mat2 = confusion_matrix(y_test_tf, tf_test_result)
print(conf_mat2)
print()
df_cm2 = pd.DataFrame(conf_mat2, index = [i for i in ["Actual - Negative", "Actual - Neutral", "Actual - Positive"]],
columns = [i for i in ["Predicted - Negative", "Predicted - Neutral", "Predicted - Positive"]])
plt.figure(figsize = (10,7))
sns.heatmap(df_cm2, annot=True, fmt='g')
plt.ylabel('Actual label')
plt.xlabel('Predicted label')
plt.show()
[[2645 111 28] [ 439 372 73] [ 269 77 378]]
# Show the top 40 features for TF-IDF & Random Forest Model
all_features2 = tfidf.get_feature_names() #Instantiate the feature from the vectorizer
top_features2='' # Addition of top 40 feature into top_feature after training the model
feat2=tf_rf_tuned.feature_importances_
features2=np.argsort(feat2)[::-1]
for i in features2[0:40]:
top_features2+=all_features2[i]
top_features2+=' '
print("The Top 40 features in this model are:")
top_features2
The Top 40 features in this model are:
'thank thanks not jetblue southwestair usairways united hour flight americanair great virginamerica delayed cancelled hold love customer get bag awesome service delay best hr need time call plane please much help good amazing still would airline worst dm got day '
wordcloud_tf = WordCloud(background_color="white",colormap='viridis',width=2000,
height=1000).generate(top_features2)
# Display the generated image:
plt.imshow(wordcloud_tf, interpolation='bilinear')
plt.figure(1, figsize=(14, 11), frameon='equal')
plt.title('Top 40 Features TF-IDF WordCloud', fontsize=20)
plt.axis("off")
plt.show()